Question: what did pamela courson die from

You are a graph analyst and you have been given a graph G among "jon vincent", "jim morrison", "drug overdose", "heroin overdose", "pamela courson", "jan paul beahm", "peny courson", "elisa bridges", "paul demayo", "jeanne eagels", "jackie curtis", "brad renfro", "janis joplin", "john belushi", "chris farley", "river phoenix", "carl lee", "cocaine overdose", "tim buckley", "leo taylor", "mike bloomfield", "alice ormsby-gore", "matthew ansara", "david lerner", "jonathan melvoin", "jean-michel basquiat", "warren tartaglia", "frankie lymon", "josé luis fernández". G has the following directed edges: "peny courson"-(people.person.children)->"pamela courson", "jim morrison"-(people.deceased_person.cause_of_death)->"drug overdose", "paul demayo"-(people.deceased_person.cause_of_death)->"drug overdose", "paul demayo"-(people.deceased_person.cause_of_death)->"heroin overdose", "river phoenix"-(people.deceased_person.cause_of_death)->"cocaine overdose", "river phoenix"-(people.deceased_person.cause_of_death)->"drug overdose", "river phoenix"-(people.deceased_person.cause_of_death)->"heroin overdose", "tim buckley"-(people.deceased_person.cause_of_death)->"heroin overdose", "tim buckley"-(people.deceased_person.cause_of_death)->"drug overdose", "brad renfro"-(people.deceased_person.cause_of_death)->"drug overdose", "brad renfro"-(people.deceased_person.cause_of_death)->"heroin overdose", "jackie curtis"-(people.deceased_person.cause_of_death)->"heroin overdose", "alice ormsby-gore"-(people.deceased_person.cause_of_death)->"heroin overdose", "jonathan melvoin"-(people.deceased_person.cause_of_death)->"heroin overdose", "jean-michel basquiat"-(people.deceased_person.cause_of_death)->"drug overdose", "elisa bridges"-(people.deceased_person.cause_of_death)->"heroin overdose", "elisa bridges"-(people.deceased_person.cause_of_death)->"drug overdose", "jeanne eagels"-(people.deceased_person.cause_of_death)->"heroin overdose", "jeanne eagels"-(people.deceased_person.cause_of_death)->"drug overdose", "chris farley"-(people.deceased_person.cause_of_death)->"drug overdose", "mike bloomfield"-(people.deceased_person.cause_of_death)->"drug overdose", "mike bloomfield"-(people.deceased_person.cause_of_death)->"heroin overdose", "pamela courson"-(people.deceased_person.cause_of_death)->"heroin overdose", "matthew ansara"-(people.deceased_person.cause_of_death)->"drug overdose", "matthew ansara"-(people.deceased_person.cause_of_death)->"heroin overdose", "janis joplin"-(people.deceased_person.cause_of_death)->"heroin overdose", "jan paul beahm"-(people.deceased_person.cause_of_death)->"heroin overdose", "david lerner"-(people.deceased_person.cause_of_death)->"heroin overdose", "john belushi"-(people.deceased_person.cause_of_death)->"heroin overdose", "warren tartaglia"-(people.deceased_person.cause_of_death)->"heroin overdose", "jon vincent"-(people.deceased_person.cause_of_death)->"heroin overdose", "frankie lymon"-(people.deceased_person.cause_of_death)->"heroin overdose", "josé luis fernández"-(people.deceased_person.cause_of_death)->"heroin overdose", "leo taylor"-(people.deceased_person.cause_of_death)->"drug overdose", "carl lee"-(people.deceased_person.cause_of_death)->"heroin overdose".

node_id,node_attr
4,jon vincent
7,jim morrison
8,drug overdose
11,heroin overdose
25,pamela courson
65,jan paul beahm
70,peny courson
73,elisa bridges
78,paul demayo
83,jeanne eagels
116,jackie curtis
126,brad renfro
133,janis joplin
141,john belushi
142,chris farley
154,river phoenix
160,carl lee
185,cocaine overdose
243,tim buckley
309,leo taylor
366,mike bloomfield
376,alice ormsby-gore
438,matthew ansara
442,david lerner
451,jonathan melvoin
482,jean-michel basquiat
555,warren tartaglia
567,frankie lymon
598,josé luis fernández

src,edge_attr,dst
70,people.person.children,25
7,people.deceased_person.cause_of_death,8
78,people.deceased_person.cause_of_death,8
154,people.deceased_person.cause_of_death,185
243,people.deceased_person.cause_of_death,11
126,people.deceased_person.cause_of_death,8
243,people.deceased_person.cause_of_death,8
116,people.deceased_person.cause_of_death,11
376,people.deceased_person.cause_of_death,11
126,people.deceased_person.cause_of_death,11
451,people.deceased_person.cause_of_death,11
482,people.deceased_person.cause_of_death,8
73,people.deceased_person.cause_of_death,11
83,people.deceased_person.cause_of_death,11
142,people.deceased_person.cause_of_death,8
366,people.deceased_person.cause_of_death,8
73,people.deceased_person.cause_of_death,8
25,people.deceased_person.cause_of_death,11
438,people.deceased_person.cause_of_death,8
133,people.deceased_person.cause_of_death,11
366,people.deceased_person.cause_of_death,11
65,people.deceased_person.cause_of_death,11
442,people.deceased_person.cause_of_death,11
141,people.deceased_person.cause_of_death,11
555,people.deceased_person.cause_of_death,11
154,people.deceased_person.cause_of_death,8
154,people.deceased_person.cause_of_death,11
4,people.deceased_person.cause_of_death,11
438,people.deceased_person.cause_of_death,11
78,people.deceased_person.cause_of_death,11
83,people.deceased_person.cause_of_death,8
567,people.deceased_person.cause_of_death,11
598,people.deceased_person.cause_of_death,11
309,people.deceased_person.cause_of_death,8
160,people.deceased_person.cause_of_death,11

G describes a graph among nodes "jon vincent", "jim morrison", "drug overdose", "heroin overdose", "pamela courson", "jan paul beahm", "peny courson", "elisa bridges", "paul demayo", "jeanne eagels", "jackie curtis", "brad renfro", "janis joplin", "john belushi", "chris farley", "river phoenix", "carl lee", "cocaine overdose", "tim buckley", "leo taylor", "mike bloomfield", "alice ormsby-gore", "matthew ansara", "david lerner", "jonathan melvoin", "jean-michel basquiat", "warren tartaglia", "frankie lymon", "josé luis fernández".In this graph: Node "peny courson" has outgoing edges to: "pamela courson" with relation "people.person.children". Node "jim morrison" has outgoing edges to: "drug overdose" with relation "people.deceased_person.cause_of_death". Node "paul demayo" has outgoing edges to: "drug overdose", "heroin overdose" with relation "people.deceased_person.cause_of_death". Node "river phoenix" has outgoing edges to: "cocaine overdose", "drug overdose", "heroin overdose" with relation "people.deceased_person.cause_of_death". Node "tim buckley" has outgoing edges to: "heroin overdose", "drug overdose" with relation "people.deceased_person.cause_of_death". Node "brad renfro" has outgoing edges to: "drug overdose", "heroin overdose" with relation "people.deceased_person.cause_of_death". Node "jackie curtis" has outgoing edges to: "heroin overdose" with relation "people.deceased_person.cause_of_death". Node "alice ormsby-gore" has outgoing edges to: "heroin overdose" with relation "people.deceased_person.cause_of_death". Node "jonathan melvoin" has outgoing edges to: "heroin overdose" with relation "people.deceased_person.cause_of_death". Node "jean-michel basquiat" has outgoing edges to: "drug overdose" with relation "people.deceased_person.cause_of_death". Node "elisa bridges" has outgoing edges to: "heroin overdose", "drug overdose" with relation "people.deceased_person.cause_of_death". Node "jeanne eagels" has outgoing edges to: "heroin overdose", "drug overdose" with relation "people.deceased_person.cause_of_death". Node "chris farley" has outgoing edges to: "drug overdose" with relation "people.deceased_person.cause_of_death". Node "mike bloomfield" has outgoing edges to: "drug overdose", "heroin overdose" with relation "people.deceased_person.cause_of_death". Node "pamela courson" has outgoing edges to: "heroin overdose" with relation "people.deceased_person.cause_of_death". Node "matthew ansara" has outgoing edges to: "drug overdose", "heroin overdose" with relation "people.deceased_person.cause_of_death". Node "janis joplin" has outgoing edges to: "heroin overdose" with relation "people.deceased_person.cause_of_death". Node "jan paul beahm" has outgoing edges to: "heroin overdose" with relation "people.deceased_person.cause_of_death". Node "david lerner" has outgoing edges to: "heroin overdose" with relation "people.deceased_person.cause_of_death". Node "john belushi" has outgoing edges to: "heroin overdose" with relation "people.deceased_person.cause_of_death". Node "warren tartaglia" has outgoing edges to: "heroin overdose" with relation "people.deceased_person.cause_of_death". Node "jon vincent" has outgoing edges to: "heroin overdose" with relation "people.deceased_person.cause_of_death". Node "frankie lymon" has outgoing edges to: "heroin overdose" with relation "people.deceased_person.cause_of_death". Node "josé luis fernández" has outgoing edges to: "heroin overdose" with relation "people.deceased_person.cause_of_death". Node "leo taylor" has outgoing edges to: "drug overdose" with relation "people.deceased_person.cause_of_death". Node "carl lee" has outgoing edges to: "heroin overdose" with relation "people.deceased_person.cause_of_death".

("peny courson", "people.person.children", "pamela courson"), ("jim morrison", "people.deceased_person.cause_of_death", "drug overdose"), ("paul demayo", "people.deceased_person.cause_of_death", "drug overdose"), ("paul demayo", "people.deceased_person.cause_of_death", "heroin overdose"), ("river phoenix", "people.deceased_person.cause_of_death", "cocaine overdose"), ("river phoenix", "people.deceased_person.cause_of_death", "drug overdose"), ("river phoenix", "people.deceased_person.cause_of_death", "heroin overdose"), ("tim buckley", "people.deceased_person.cause_of_death", "heroin overdose"), ("tim buckley", "people.deceased_person.cause_of_death", "drug overdose"), ("brad renfro", "people.deceased_person.cause_of_death", "drug overdose"), ("brad renfro", "people.deceased_person.cause_of_death", "heroin overdose"), ("jackie curtis", "people.deceased_person.cause_of_death", "heroin overdose"), ("alice ormsby-gore", "people.deceased_person.cause_of_death", "heroin overdose"), ("jonathan melvoin", "people.deceased_person.cause_of_death", "heroin overdose"), ("jean-michel basquiat", "people.deceased_person.cause_of_death", "drug overdose"), ("elisa bridges", "people.deceased_person.cause_of_death", "heroin overdose"), ("elisa bridges", "people.deceased_person.cause_of_death", "drug overdose"), ("jeanne eagels", "people.deceased_person.cause_of_death", "heroin overdose"), ("jeanne eagels", "people.deceased_person.cause_of_death", "drug overdose"), ("chris farley", "people.deceased_person.cause_of_death", "drug overdose"), ("mike bloomfield", "people.deceased_person.cause_of_death", "drug overdose"), ("mike bloomfield", "people.deceased_person.cause_of_death", "heroin overdose"), ("pamela courson", "people.deceased_person.cause_of_death", "heroin overdose"), ("matthew ansara", "people.deceased_person.cause_of_death", "drug overdose"), ("matthew ansara", "people.deceased_person.cause_of_death", "heroin overdose"), ("janis joplin", "people.deceased_person.cause_of_death", "heroin overdose"), ("jan paul beahm", "people.deceased_person.cause_of_death", "heroin overdose"), ("david lerner", "people.deceased_person.cause_of_death", "heroin overdose"), ("john belushi", "people.deceased_person.cause_of_death", "heroin overdose"), ("warren tartaglia", "people.deceased_person.cause_of_death", "heroin overdose"), ("jon vincent", "people.deceased_person.cause_of_death", "heroin overdose"), ("frankie lymon", "people.deceased_person.cause_of_death", "heroin overdose"), ("josé luis fernández", "people.deceased_person.cause_of_death", "heroin overdose"), ("leo taylor", "people.deceased_person.cause_of_death", "drug overdose"), ("carl lee", "people.deceased_person.cause_of_death", "heroin overdose")

Peny Courson's child is Pamela Courson, who died from a heroin overdose. Jim Morrison, Paul Demayo (died from both drug overdose and heroin overdose), River Phoenix (deceased due to cocaine, drug, and heroin overdoses), Tim Buckley (died from heroin and drug overdoses), Brad Renfro (deceased from drug and heroin overdoses), Jackie Curtis, Alice Ormsby-Gore, Jonathan Melvoin, Jean-Michel Basquiat (died from drug overdose), Elisa Bridges (deceased from heroin and drug overdoses), Jeanne Eagels (died from heroin and drug overdoses), Chris Farley, Mike Bloomfield (died from drug and heroin overdoses), Matthew Ansara (deceased from drug and heroin overdoses), Janis Joplin, Jan Paul Beahm, David Lerner, John Belushi, Warren Tartaglia, Jon Vincent, Frankie Lymon, José Luis Fernández, Leo Taylor (died from drug overdose), and Carl Lee all died from heroin overdoses.

Pamela Courson died from a heroin overdose.


Question: what did dr jack kevorkian do

You are a graph analyst and you have been given a graph G among "beaumont hospital - royal oak", "jack kevorkian", "m.04l4f2f", "thrombosis", "m.04yjbnk", "kevorkian", "m.04g3tw2", "m.0nfxlq_", "duane lee  chapman", "calling dr. kevorkian: a date with dr. death". G has the following directed edges: "m.0nfxlq_"-(film.personal_film_appearance.person)->"jack kevorkian", "m.0nfxlq_"-(film.personal_film_appearance.film)->"calling dr. kevorkian: a date with dr. death", "thrombosis"-(people.cause_of_death.people)->"jack kevorkian", "thrombosis"-(base.bioventurist.bv_medical_condition.therapeutics)->"m.04yjbnk", "thrombosis"-(base.bioventurist.bv_medical_condition.therapeutics)->"m.04l4f2f", "thrombosis"-(medicine.disease.notable_people_with_this_condition)->"duane lee  chapman", "jack kevorkian"-(common.topic.image)->"kevorkian", "jack kevorkian"-(people.deceased_person.place_of_death)->"beaumont hospital - royal oak", "duane lee  chapman"-(medicine.notable_person_with_medical_condition.condition)->"thrombosis", "beaumont hospital - royal oak"-(medicine.hospital.address)->"m.04g3tw2".

node_id,node_attr
12,beaumont hospital - royal oak
46,jack kevorkian
129,m.04l4f2f
130,thrombosis
318,m.04yjbnk
358,kevorkian
409,m.04g3tw2
591,m.0nfxlq_
628,duane lee  chapman
758,calling dr. kevorkian: a date with dr. death

src,edge_attr,dst
591,film.personal_film_appearance.person,46
591,film.personal_film_appearance.film,758
130,people.cause_of_death.people,46
46,common.topic.image,358
46,people.deceased_person.place_of_death,12
130,base.bioventurist.bv_medical_condition.therapeutics,318
628,medicine.notable_person_with_medical_condition.condition,130
130,medicine.disease.notable_people_with_this_condition,628
12,medicine.hospital.address,409
130,base.bioventurist.bv_medical_condition.therapeutics,129

G describes a graph among nodes "beaumont hospital - royal oak", "jack kevorkian", "m.04l4f2f", "thrombosis", "m.04yjbnk", "kevorkian", "m.04g3tw2", "m.0nfxlq_", "duane lee  chapman", "calling dr. kevorkian: a date with dr. death".In this graph: Node "m.0nfxlq_" has outgoing edges to: "jack kevorkian" with relation "film.personal_film_appearance.person". Node "m.0nfxlq_" has outgoing edges to: "calling dr. kevorkian: a date with dr. death" with relation "film.personal_film_appearance.film". Node "thrombosis" has outgoing edges to: "jack kevorkian" with relation "people.cause_of_death.people". Node "thrombosis" has outgoing edges to: "m.04yjbnk", "m.04l4f2f" with relation "base.bioventurist.bv_medical_condition.therapeutics". Node "thrombosis" has outgoing edges to: "duane lee  chapman" with relation "medicine.disease.notable_people_with_this_condition". Node "jack kevorkian" has outgoing edges to: "kevorkian" with relation "common.topic.image". Node "jack kevorkian" has outgoing edges to: "beaumont hospital - royal oak" with relation "people.deceased_person.place_of_death". Node "duane lee  chapman" has outgoing edges to: "thrombosis" with relation "medicine.notable_person_with_medical_condition.condition". Node "beaumont hospital - royal oak" has outgoing edges to: "m.04g3tw2" with relation "medicine.hospital.address".

("m.0nfxlq_", "film.personal_film_appearance.person", "jack kevorkian"), ("m.0nfxlq_", "film.personal_film_appearance.film", "calling dr. kevorkian: a date with dr. death"), ("thrombosis", "people.cause_of_death.people", "jack kevorkian"), ("thrombosis", "base.bioventurist.bv_medical_condition.therapeutics", "m.04yjbnk"), ("thrombosis", "base.bioventurist.bv_medical_condition.therapeutics", "m.04l4f2f"), ("thrombosis", "medicine.disease.notable_people_with_this_condition", "duane lee  chapman"), ("jack kevorkian", "common.topic.image", "kevorkian"), ("jack kevorkian", "people.deceased_person.place_of_death", "beaumont hospital - royal oak"), ("duane lee  chapman", "medicine.notable_person_with_medical_condition.condition", "thrombosis"), ("beaumont hospital - royal oak", "medicine.hospital.address", "m.04g3tw2")

Jack Kevorkian appeared in the film "Calling Dr. Kevorkian: A Date with Dr. Death" and died of thrombosis at Beaumont Hospital - Royal Oak. Thrombosis is associated with therapeutic treatments m.04yjbnk and m.04l4f2f, and affected notable individuals including Duane Lee Chapman, who also suffered from the condition. Kevorkian was often associated with the image "kevorkian," and Beaumont Hospital - Royal Oak is located at address m.04g3tw2.

Jack Kevorkian, known for his appearances in media such as the film "Calling Dr. Kevorkian: A Date with Dr. Death," was a prominent advocate for assisted suicide. He passed away at Beaumont Hospital in Royal Oak due to thrombosis.

Jack Kevorkian, known for his involvement in assisted suicide cases, appeared in the film "Calling Dr. Kevorkian: A Date with Dr. Death". He died of thrombosis at Beaumont Hospital in Royal Oak.

Jack Kevorkian, known for his controversial involvement in assisted suicides, appeared in the film "Calling Dr. Kevorkian: A Date with Dr. Death." He died from thrombosis at Beaumont Hospital in Royal Oak.

Jack Kevorkian, known for his involvement in assisted suicide cases, appeared in the film "Calling Dr. Kevorkian: A Date with Dr. Death." He died of thrombosis at Beaumont Hospital in Royal Oak.

Dr. Jack Kevorkian appeared in the film "Calling Dr. Kevorkian: A Date with Dr. Death." He died of thrombosis at Beaumont Hospital in Royal Oak.


Question: what does bolivia border

You are a graph analyst and you have been given a graph G among "bolivia", "earth", "la paz", "m.0j1c3g8", "united states of america", "bolivian province", "government of bolivia", "statoids of bolivia". G has the following directed edges: "bolivia"-(common.topic.webpage)->"m.0j1c3g8", "bolivia"-(base.aareas.schema.administrative_area.administrative_parent)->"earth", "m.0j1c3g8"-(common.webpage.resource)->"statoids of bolivia", "government of bolivia"-(government.government.government_for)->"bolivia", "bolivian province"-(base.aareas.schema.administrative_area_type.iso_country)->"bolivia", "united states of america"-(base.locations.countries.planet)->"earth", "earth"-(base.locations.planets.countries_within)->"united states of america", "la paz"-(base.biblioness.bibs_location.country)->"bolivia".

node_id,node_attr
3,bolivia
17,earth
130,la paz
164,m.0j1c3g8
169,united states of america
198,bolivian province
582,government of bolivia
987,statoids of bolivia

src,edge_attr,dst
3,common.topic.webpage,164
164,common.webpage.resource,987
3,base.aareas.schema.administrative_area.administrative_parent,17
582,government.government.government_for,3
198,base.aareas.schema.administrative_area_type.iso_country,3
169,base.locations.countries.planet,17
17,base.locations.planets.countries_within,169
130,base.biblioness.bibs_location.country,3

G describes a graph among nodes "bolivia", "earth", "la paz", "m.0j1c3g8", "united states of america", "bolivian province", "government of bolivia", "statoids of bolivia".In this graph: Node "bolivia" has outgoing edges to: "m.0j1c3g8" with relation "common.topic.webpage". Node "bolivia" has outgoing edges to: "earth" with relation "base.aareas.schema.administrative_area.administrative_parent". Node "m.0j1c3g8" has outgoing edges to: "statoids of bolivia" with relation "common.webpage.resource". Node "government of bolivia" has outgoing edges to: "bolivia" with relation "government.government.government_for". Node "bolivian province" has outgoing edges to: "bolivia" with relation "base.aareas.schema.administrative_area_type.iso_country". Node "united states of america" has outgoing edges to: "earth" with relation "base.locations.countries.planet". Node "earth" has outgoing edges to: "united states of america" with relation "base.locations.planets.countries_within". Node "la paz" has outgoing edges to: "bolivia" with relation "base.biblioness.bibs_location.country".

("bolivia", "common.topic.webpage", "m.0j1c3g8"), ("bolivia", "base.aareas.schema.administrative_area.administrative_parent", "earth"), ("m.0j1c3g8", "common.webpage.resource", "statoids of bolivia"), ("government of bolivia", "government.government.government_for", "bolivia"), ("bolivian province", "base.aareas.schema.administrative_area_type.iso_country", "bolivia"), ("united states of america", "base.locations.countries.planet", "earth"), ("earth", "base.locations.planets.countries_within", "united states of america"), ("la paz", "base.biblioness.bibs_location.country", "bolivia")

Bolivia, an administrative area on Earth, is governed by the Government of Bolivia and encompasses regions like La Paz, which is located within its borders. Its webpage, statoids of Bolivia, provides resources related to the country. Bolivia, classified as an administrative parent under Earth, shares the planet with countries such as the United States of America. The Bolivian province is categorized under Bolivia's administrative structure.

Bolivia borders multiple countries, though specific bordering nations are not listed in the provided graph data. The graph indicates Bolivia's administrative context and its location on Earth but does not explicitly mention its immediate geographical neighbors. Additional resources like "statoids of bolivia" might provide the specific bordering countries.

Bolivia borders other nations directly but specific bordering countries are not detailed in the provided graph. The graph confirms Bolivia's administrative context within Earth and mentions internal administrative divisions without specifying international boundaries.

Bolivia borders multiple countries, though specific bordering countries are not detailed in the provided graph data. The graph confirms Bolivia's geographical context on Earth and mentions internal administrative divisions like Bolivian provinces, but does not explicitly list its international borders.

Bolivia borders multiple countries, though specific bordering countries are not listed in the provided graph. The graph confirms Bolivia's existence as an administrative area on Earth but does not detail its exact national borders. Additional sources would be needed for a comprehensive list of Bolivia's neighbors.

Bolivia borders other countries, though specific bordering nations are not listed in the provided graph data. The graph confirms Bolivia's administrative context within Earth and mentions La Paz as a location within Bolivia without detailing its international borders directly.


Question: who does nolan ryan play for

You are a graph analyst and you have been given a graph G among "nolan ryan", "m.05yvwyc", "california angels", "pitcher", "nolan ryan in atlanta", "round rock express", "m.05yvwy6", "m.0tl4ds3", "m.05yvwyj", "nolan ryan field", "m.0v2_g_z". G has the following directed edges: "nolan ryan"-(symbols.name_source.namesakes)->"round rock express", "nolan ryan"-(symbols.name_source.namesakes)->"nolan ryan field", "nolan ryan"-(common.topic.image)->"nolan ryan in atlanta", "nolan ryan"-(sports.pro_athlete.teams)->"m.05yvwyc", "nolan ryan"-(sports.pro_athlete.teams)->"m.05yvwyj", "nolan ryan"-(sports.pro_athlete.teams)->"m.0tl4ds3", "nolan ryan"-(sports.pro_athlete.teams)->"m.05yvwy6", "m.05yvwyc"-(sports.sports_team_roster.player)->"nolan ryan", "m.05yvwy6"-(sports.sports_team_roster.player)->"nolan ryan", "m.05yvwy6"-(sports.sports_team_roster.position)->"pitcher", "m.0tl4ds3"-(sports.sports_team_roster.player)->"nolan ryan", "m.0tl4ds3"-(sports.sports_team_roster.position)->"pitcher", "california angels"-(sports.sports_team.roster)->"m.05yvwyj", "m.05yvwyj"-(sports.sports_team_roster.player)->"nolan ryan", "round rock express"-(sports.sports_team.roster)->"m.0v2_g_z".

node_id,node_attr
2,nolan ryan
8,m.05yvwyc
24,california angels
40,pitcher
49,nolan ryan in atlanta
70,round rock express
72,m.05yvwy6
101,m.0tl4ds3
170,m.05yvwyj
205,nolan ryan field
314,m.0v2_g_z

src,edge_attr,dst
2,symbols.name_source.namesakes,70
2,symbols.name_source.namesakes,205
2,common.topic.image,49
2,sports.pro_athlete.teams,8
8,sports.sports_team_roster.player,2
72,sports.sports_team_roster.player,2
101,sports.sports_team_roster.player,2
2,sports.pro_athlete.teams,170
24,sports.sports_team.roster,170
2,sports.pro_athlete.teams,101
72,sports.sports_team_roster.position,40
170,sports.sports_team_roster.player,2
101,sports.sports_team_roster.position,40
70,sports.sports_team.roster,314
2,sports.pro_athlete.teams,72

G describes a graph among nodes "nolan ryan", "m.05yvwyc", "california angels", "pitcher", "nolan ryan in atlanta", "round rock express", "m.05yvwy6", "m.0tl4ds3", "m.05yvwyj", "nolan ryan field", "m.0v2_g_z".In this graph: Node "nolan ryan" has outgoing edges to: "round rock express", "nolan ryan field" with relation "symbols.name_source.namesakes". Node "nolan ryan" has outgoing edges to: "nolan ryan in atlanta" with relation "common.topic.image". Node "nolan ryan" has outgoing edges to: "m.05yvwyc", "m.05yvwyj", "m.0tl4ds3", "m.05yvwy6" with relation "sports.pro_athlete.teams". Node "m.05yvwyc" has outgoing edges to: "nolan ryan" with relation "sports.sports_team_roster.player". Node "m.05yvwy6" has outgoing edges to: "nolan ryan" with relation "sports.sports_team_roster.player". Node "m.05yvwy6" has outgoing edges to: "pitcher" with relation "sports.sports_team_roster.position". Node "m.0tl4ds3" has outgoing edges to: "nolan ryan" with relation "sports.sports_team_roster.player". Node "m.0tl4ds3" has outgoing edges to: "pitcher" with relation "sports.sports_team_roster.position". Node "california angels" has outgoing edges to: "m.05yvwyj" with relation "sports.sports_team.roster". Node "m.05yvwyj" has outgoing edges to: "nolan ryan" with relation "sports.sports_team_roster.player". Node "round rock express" has outgoing edges to: "m.0v2_g_z" with relation "sports.sports_team.roster".

("nolan ryan", "symbols.name_source.namesakes", "round rock express"), ("nolan ryan", "symbols.name_source.namesakes", "nolan ryan field"), ("nolan ryan", "common.topic.image", "nolan ryan in atlanta"), ("nolan ryan", "sports.pro_athlete.teams", "m.05yvwyc"), ("nolan ryan", "sports.pro_athlete.teams", "m.05yvwyj"), ("nolan ryan", "sports.pro_athlete.teams", "m.0tl4ds3"), ("nolan ryan", "sports.pro_athlete.teams", "m.05yvwy6"), ("m.05yvwyc", "sports.sports_team_roster.player", "nolan ryan"), ("m.05yvwy6", "sports.sports_team_roster.player", "nolan ryan"), ("m.05yvwy6", "sports.sports_team_roster.position", "pitcher"), ("m.0tl4ds3", "sports.sports_team_roster.player", "nolan ryan"), ("m.0tl4ds3", "sports.sports_team_roster.position", "pitcher"), ("california angels", "sports.sports_team.roster", "m.05yvwyj"), ("m.05yvwyj", "sports.sports_team_roster.player", "nolan ryan"), ("round rock express", "sports.sports_team.roster", "m.0v2_g_z")

Nolan Ryan, known for his time as a pitcher for teams including the California Angels, Houston Astros, and Texas Rangers, has namesakes like Round Rock Express and Nolan Ryan Field. An image captures him in Atlanta, and his roster records show his position as a pitcher for the Houston Astros (m.05yvwy6) and Texas Rangers (m.0tl4ds3). Additionally, he played for the California Angels (m.05yvwyj) and is associated with the Round Rock Express through namesake connections.

Nolan Ryan played for several teams including the California Angels, identified by ID "m.05yvwyj", and other teams represented by IDs "m.05yvwyc", "m.0tl4ds3", and "m.05yvwy6", where he was noted as a pitcher. His team affiliations include connections marked by IDs that correspond to these professional rosters.

Nolan Ryan played for teams including the California Angels (m.05yvwyj), identified by codes m.05yvwyc, m.0tl4ds3, and m.05yvwy6, where he was listed as a pitcher.

Nolan Ryan played for multiple teams including the California Angels (identified by node m.05yvwyj), the Houston Astros (node m.05yvwyc), another team possibly representing the New York Mets (node m.05yvwy6), and the Texas Rangers (node m.0tl4ds3), primarily as a pitcher. Additionally, Nolan Ryan's name is associated with the Round Rock Express, though not directly indicating active playing involvement.

Nolan Ryan played for multiple teams including the California Angels (identified by "m.05yvwyj"), as well as teams represented by identifiers "m.05yvwyc", "m.0tl4ds3", and "m.05yvwy6", where he notably held the position of pitcher.

Nolan Ryan played for multiple teams including the California Angels, identified by ID "m.05yvwyj", and two other teams with IDs "m.05yvwyc", "m.0tl4ds3", and "m.05yvwy6", where he held the position of pitcher.


Question: what country does justin bieber come from

You are a graph analyst and you have been given a graph G among "united states of america", "justin bieber", "canada", "ontario", "chicago", "tampa", "english language", "alanis morissette", "this is justin bieber", "miami", "m.0cq990t", "justin bieber romania". G has the following directed edges: "canada"-(location.country.languages_spoken)->"english language", "this is justin bieber"-(film.film.language)->"english language", "m.0cq990t"-(common.webpage.topic)->"justin bieber", "m.0cq990t"-(common.webpage.resource)->"justin bieber romania", "alanis morissette"-(people.person.nationality)->"united states of america", "alanis morissette"-(people.person.nationality)->"canada", "justin bieber"-(people.person.nationality)->"canada", "miami"-(base.biblioness.bibs_location.country)->"united states of america", "chicago"-(base.biblioness.bibs_location.country)->"united states of america", "tampa"-(base.biblioness.bibs_location.country)->"united states of america", "ontario"-(base.biblioness.bibs_location.country)->"canada".

node_id,node_attr
12,united states of america
15,justin bieber
28,canada
63,ontario
144,chicago
238,tampa
286,english language
396,alanis morissette
1032,this is justin bieber
1045,miami
1081,m.0cq990t
1082,justin bieber romania

src,edge_attr,dst
28,location.country.languages_spoken,286
1032,film.film.language,286
1081,common.webpage.topic,15
1081,common.webpage.resource,1082
396,people.person.nationality,12
396,people.person.nationality,28
15,people.person.nationality,28
1045,base.biblioness.bibs_location.country,12
144,base.biblioness.bibs_location.country,12
238,base.biblioness.bibs_location.country,12
63,base.biblioness.bibs_location.country,28

G describes a graph among nodes "united states of america", "justin bieber", "canada", "ontario", "chicago", "tampa", "english language", "alanis morissette", "this is justin bieber", "miami", "m.0cq990t", "justin bieber romania".In this graph: Node "canada" has outgoing edges to: "english language" with relation "location.country.languages_spoken". Node "this is justin bieber" has outgoing edges to: "english language" with relation "film.film.language". Node "m.0cq990t" has outgoing edges to: "justin bieber" with relation "common.webpage.topic". Node "m.0cq990t" has outgoing edges to: "justin bieber romania" with relation "common.webpage.resource". Node "alanis morissette" has outgoing edges to: "united states of america", "canada" with relation "people.person.nationality". Node "justin bieber" has outgoing edges to: "canada" with relation "people.person.nationality". Node "miami" has outgoing edges to: "united states of america" with relation "base.biblioness.bibs_location.country". Node "chicago" has outgoing edges to: "united states of america" with relation "base.biblioness.bibs_location.country". Node "tampa" has outgoing edges to: "united states of america" with relation "base.biblioness.bibs_location.country". Node "ontario" has outgoing edges to: "canada" with relation "base.biblioness.bibs_location.country".

("canada", "location.country.languages_spoken", "english language"), ("this is justin bieber", "film.film.language", "english language"), ("m.0cq990t", "common.webpage.topic", "justin bieber"), ("m.0cq990t", "common.webpage.resource", "justin bieber romania"), ("alanis morissette", "people.person.nationality", "united states of america"), ("alanis morissette", "people.person.nationality", "canada"), ("justin bieber", "people.person.nationality", "canada"), ("miami", "base.biblioness.bibs_location.country", "united states of america"), ("chicago", "base.biblioness.bibs_location.country", "united states of america"), ("tampa", "base.biblioness.bibs_location.country", "united states of america"), ("ontario", "base.biblioness.bibs_location.country", "canada")

Canada, where English is spoken, is the home country of Justin Bieber and Alanis Morissette, who also holds dual nationality with the United States of America. Justin Bieber's work and a webpage titled "justin bieber romania" are in English, while Alanis Morissette's primary nationality is noted as Canada. Other locations like Ontario in Canada and cities such as Miami, Chicago, and Tampa in the United States of America are also mentioned, each within their respective countries.

Justin Bieber's nationality is listed as Canada.


Question: what is the head judge of the supreme court called

You are a graph analyst and you have been given a graph G among "supreme court of the united states", "m.0hn3555", "chief justice of the united states", "m.05lwk8w", "m.0hn347s", "m.0hn34gb", "m.0hmtgn7", "m.0cv2v4z", "m.0hmslnj", "m.0hn349y", "m.0hn35g5", "m.0hmtlf9", "m.0hmtbm8", "m.046x3bs", "m.0hmtfkd", "m.0hn34k7", "judicial title", "m.0hmss3h", "m.0hn34y3", "m.0hn35kc". G has the following directed edges: "chief justice of the united states"-(common.topic.notable_types)->"judicial title", "chief justice of the united states"-(law.judicial_title.judges)->"m.0cv2v4z", "chief justice of the united states"-(law.judicial_title.judges)->"m.0hmslnj", "chief justice of the united states"-(law.judicial_title.judges)->"m.0hmtlf9", "chief justice of the united states"-(law.judicial_title.judges)->"m.0hmtbm8", "chief justice of the united states"-(law.judicial_title.judges)->"m.046x3bs", "chief justice of the united states"-(law.judicial_title.judges)->"m.0hn3555", "chief justice of the united states"-(law.judicial_title.judges)->"m.0hmss3h", "chief justice of the united states"-(law.judicial_title.judges)->"m.0hn34y3", "chief justice of the united states"-(law.judicial_title.judges)->"m.0hmtgn7", "chief justice of the united states"-(law.judicial_title.judges)->"m.0hn35kc", "chief justice of the united states"-(law.judicial_title.judges)->"m.0hn34k7", "chief justice of the united states"-(law.judicial_title.judges)->"m.0hn35g5", "chief justice of the united states"-(law.judicial_title.judges)->"m.0hn34gb", "chief justice of the united states"-(law.judicial_title.judges)->"m.0hn347s", "chief justice of the united states"-(law.judicial_title.judges)->"m.05lwk8w", "chief justice of the united states"-(law.judicial_title.judges)->"m.0hn349y", "chief justice of the united states"-(law.judicial_title.judges)->"m.0hmtfkd", "m.0hn34k7"-(law.judicial_tenure.court)->"supreme court of the united states".

node_id,node_attr
4,supreme court of the united states
96,m.0hn3555
134,chief justice of the united states
164,m.05lwk8w
173,m.0hn347s
179,m.0hn34gb
181,m.0hmtgn7
190,m.0cv2v4z
191,m.0hmslnj
290,m.0hn349y
315,m.0hn35g5
318,m.0hmtlf9
320,m.0hmtbm8
361,m.046x3bs
419,m.0hmtfkd
468,m.0hn34k7
513,judicial title
515,m.0hmss3h
523,m.0hn34y3
525,m.0hn35kc

src,edge_attr,dst
134,common.topic.notable_types,513
468,law.judicial_tenure.court,4
134,law.judicial_title.judges,190
134,law.judicial_title.judges,191
134,law.judicial_title.judges,318
134,law.judicial_title.judges,320
134,law.judicial_title.judges,361
134,law.judicial_title.judges,96
134,law.judicial_title.judges,515
134,law.judicial_title.judges,523
134,law.judicial_title.judges,181
134,law.judicial_title.judges,525
134,law.judicial_title.judges,468
134,law.judicial_title.judges,315
134,law.judicial_title.judges,179
134,law.judicial_title.judges,173
134,law.judicial_title.judges,164
134,law.judicial_title.judges,290
134,law.judicial_title.judges,419

G describes a graph among nodes "supreme court of the united states", "m.0hn3555", "chief justice of the united states", "m.05lwk8w", "m.0hn347s", "m.0hn34gb", "m.0hmtgn7", "m.0cv2v4z", "m.0hmslnj", "m.0hn349y", "m.0hn35g5", "m.0hmtlf9", "m.0hmtbm8", "m.046x3bs", "m.0hmtfkd", "m.0hn34k7", "judicial title", "m.0hmss3h", "m.0hn34y3", "m.0hn35kc".In this graph: Node "chief justice of the united states" has outgoing edges to: "judicial title" with relation "common.topic.notable_types". Node "chief justice of the united states" has outgoing edges to: "m.0cv2v4z", "m.0hmslnj", "m.0hmtlf9", "m.0hmtbm8", "m.046x3bs", "m.0hn3555", "m.0hmss3h", "m.0hn34y3", "m.0hmtgn7", "m.0hn35kc", "m.0hn34k7", "m.0hn35g5", "m.0hn34gb", "m.0hn347s", "m.05lwk8w", "m.0hn349y", "m.0hmtfkd" with relation "law.judicial_title.judges". Node "m.0hn34k7" has outgoing edges to: "supreme court of the united states" with relation "law.judicial_tenure.court".

("chief justice of the united states", "common.topic.notable_types", "judicial title"), ("chief justice of the united states", "law.judicial_title.judges", "m.0cv2v4z"), ("chief justice of the united states", "law.judicial_title.judges", "m.0hmslnj"), ("chief justice of the united states", "law.judicial_title.judges", "m.0hmtlf9"), ("chief justice of the united states", "law.judicial_title.judges", "m.0hmtbm8"), ("chief justice of the united states", "law.judicial_title.judges", "m.046x3bs"), ("chief justice of the united states", "law.judicial_title.judges", "m.0hn3555"), ("chief justice of the united states", "law.judicial_title.judges", "m.0hmss3h"), ("chief justice of the united states", "law.judicial_title.judges", "m.0hn34y3"), ("chief justice of the united states", "law.judicial_title.judges", "m.0hmtgn7"), ("chief justice of the united states", "law.judicial_title.judges", "m.0hn35kc"), ("chief justice of the united states", "law.judicial_title.judges", "m.0hn34k7"), ("chief justice of the united states", "law.judicial_title.judges", "m.0hn35g5"), ("chief justice of the united states", "law.judicial_title.judges", "m.0hn34gb"), ("chief justice of the united states", "law.judicial_title.judges", "m.0hn347s"), ("chief justice of the united states", "law.judicial_title.judges", "m.05lwk8w"), ("chief justice of the united states", "law.judicial_title.judges", "m.0hn349y"), ("chief justice of the united states", "law.judicial_title.judges", "m.0hmtfkd"), ("m.0hn34k7", "law.judicial_tenure.court", "supreme court of the united states")

The Chief Justice of the United States holds the judicial title of a notable type and has presided over or been associated with numerous judges, including m.0cv2v4z, m.0hmslnj, m.0hmtlf9, m.0hmtbm8, m.046x3bs, m.0hn3555, m.0hmss3h, m.0hn34y3, m.0hmtgn7, m.0hn35kc, m.0hn34k7, m.0hn35g5, m.0hn34gb, m.0hn347s, m.05lwk8w, m.0hn349y, and m.0hmtfkd, with m.0hn34k7 specifically linked to the Supreme Court of the United States.

The head judge of the Supreme Court of the United States is called the Chief Justice of the United States, holding the judicial title associated with leadership within the Supreme Court of the United States.

The head judge of the Supreme Court of the United States is called the "chief justice of the united states".

The head judge of the Supreme Court of the United States is called the "Chief Justice of the United States," holding a judicial title associated with the Supreme Court of the United States.

The head judge of the Supreme Court of the United States is called the "Chief Justice of the United States." This position is notably associated with judicial tenures on the Supreme Court of the United States.


Question: who was frida kahlo influenced by

You are a graph analyst and you have been given a graph G among "frida kahlo", "carel willink", "magic realism", "marcial gómez parejo", "frida: a biography of frida kahlo", "zachary selig", "frida kahlo : masterpieces", "bridget bate tichenor", "aaron bohrod", "bettina shaw-lawrence", "marcela donoso", "ricco", "lodewijk bruckman", "colleen browning", "frida kahlo : 1907-2007", "john rogers cox". G has the following directed edges: "frida kahlo"-(book.book.editions)->"frida kahlo : 1907-2007", "frida kahlo"-(book.book.editions)->"frida kahlo : masterpieces", "frida: a biography of frida kahlo"-(book.written_work.subjects)->"frida kahlo", "magic realism"-(visual_art.art_period_movement.associated_artists)->"marcial gómez parejo", "magic realism"-(visual_art.art_period_movement.associated_artists)->"zachary selig", "magic realism"-(visual_art.art_period_movement.associated_artists)->"aaron bohrod", "magic realism"-(visual_art.art_period_movement.associated_artists)->"marcela donoso", "magic realism"-(visual_art.art_period_movement.associated_artists)->"ricco", "magic realism"-(visual_art.art_period_movement.associated_artists)->"lodewijk bruckman", "magic realism"-(visual_art.art_period_movement.associated_artists)->"frida kahlo", "magic realism"-(visual_art.art_period_movement.associated_artists)->"bettina shaw-lawrence", "magic realism"-(visual_art.art_period_movement.associated_artists)->"colleen browning", "magic realism"-(visual_art.art_period_movement.associated_artists)->"bridget bate tichenor", "magic realism"-(visual_art.art_period_movement.associated_artists)->"carel willink", "magic realism"-(visual_art.art_period_movement.associated_artists)->"john rogers cox".

node_id,node_attr
1,frida kahlo
29,carel willink
30,magic realism
97,marcial gómez parejo
137,frida: a biography of frida kahlo
264,zachary selig
287,frida kahlo : masterpieces
321,bridget bate tichenor
337,aaron bohrod
343,bettina shaw-lawrence
648,marcela donoso
852,ricco
985,lodewijk bruckman
1269,colleen browning
1383,frida kahlo : 1907-2007
1440,john rogers cox

src,edge_attr,dst
1,book.book.editions,1383
1,book.book.editions,287
137,book.written_work.subjects,1
30,visual_art.art_period_movement.associated_artists,97
30,visual_art.art_period_movement.associated_artists,264
30,visual_art.art_period_movement.associated_artists,337
30,visual_art.art_period_movement.associated_artists,648
30,visual_art.art_period_movement.associated_artists,852
30,visual_art.art_period_movement.associated_artists,985
30,visual_art.art_period_movement.associated_artists,1
30,visual_art.art_period_movement.associated_artists,343
30,visual_art.art_period_movement.associated_artists,1269
30,visual_art.art_period_movement.associated_artists,321
30,visual_art.art_period_movement.associated_artists,29
30,visual_art.art_period_movement.associated_artists,1440

G describes a graph among nodes "frida kahlo", "carel willink", "magic realism", "marcial gómez parejo", "frida: a biography of frida kahlo", "zachary selig", "frida kahlo : masterpieces", "bridget bate tichenor", "aaron bohrod", "bettina shaw-lawrence", "marcela donoso", "ricco", "lodewijk bruckman", "colleen browning", "frida kahlo : 1907-2007", "john rogers cox".In this graph: Node "frida kahlo" has outgoing edges to: "frida kahlo : 1907-2007", "frida kahlo : masterpieces" with relation "book.book.editions". Node "frida: a biography of frida kahlo" has outgoing edges to: "frida kahlo" with relation "book.written_work.subjects". Node "magic realism" has outgoing edges to: "marcial gómez parejo", "zachary selig", "aaron bohrod", "marcela donoso", "ricco", "lodewijk bruckman", "frida kahlo", "bettina shaw-lawrence", "colleen browning", "bridget bate tichenor", "carel willink", "john rogers cox" with relation "visual_art.art_period_movement.associated_artists".

("frida kahlo", "book.book.editions", "frida kahlo : 1907-2007"), ("frida kahlo", "book.book.editions", "frida kahlo : masterpieces"), ("frida: a biography of frida kahlo", "book.written_work.subjects", "frida kahlo"), ("magic realism", "visual_art.art_period_movement.associated_artists", "marcial gómez parejo"), ("magic realism", "visual_art.art_period_movement.associated_artists", "zachary selig"), ("magic realism", "visual_art.art_period_movement.associated_artists", "aaron bohrod"), ("magic realism", "visual_art.art_period_movement.associated_artists", "marcela donoso"), ("magic realism", "visual_art.art_period_movement.associated_artists", "ricco"), ("magic realism", "visual_art.art_period_movement.associated_artists", "lodewijk bruckman"), ("magic realism", "visual_art.art_period_movement.associated_artists", "frida kahlo"), ("magic realism", "visual_art.art_period_movement.associated_artists", "bettina shaw-lawrence"), ("magic realism", "visual_art.art_period_movement.associated_artists", "colleen browning"), ("magic realism", "visual_art.art_period_movement.associated_artists", "bridget bate tichenor"), ("magic realism", "visual_art.art_period_movement.associated_artists", "carel willink"), ("magic realism", "visual_art.art_period_movement.associated_artists", "john rogers cox")

Frida Kahlo is the subject of editions such as "Frida Kahlo: 1907-2007" and "Frida Kahlo: Masterpieces," and is also covered in "Frida: A Biography of Frida Kahlo." She is notably associated with the art period movement of magic realism, alongside artists like Marcial Gómez Parejo, Zachary Selig, Aaron Bohrod, Marcela Donoso, Ricco, Lodewijk Bruckman, Bettina Shaw-Lawrence, Colleen Browning, Bridget Bate Tichenor, Carel Willink, John Rogers Cox, and others within this movement.

Frida Kahlo was associated with the art movement of Magic Realism, alongside artists such as Marcial Gómez Parejo, Zachary Selig, Aaron Bohrod, Marcela Donoso, Ricco, Lodewijk Bruckman, Bettina Shaw-Lawrence, Colleen Browning, Bridget Bate Tichenor, Carel Willink, and John Rogers Cox.

Frida Kahlo is associated with the Magic Realism art movement, alongside artists such as Marcial Gómez Parejo, Zachary Selig, Aaron Bohrod, Marcela Donoso, Ricco, Lodewijk Bruckman, Bettina Shaw-Lawrence, Colleen Browning, Bridget Bate Tichenor, Carel Willink, and John Rogers Cox.

Frida Kahlo is associated with the art period movement of Magic Realism, alongside artists such as Marcial Gómez Parejo, Zachary Selig, Aaron Bohrod, Marcela Donoso, Ricco, Lodewijk Bruckman, Bettina Shaw-Lawrence, Colleen Browning, Bridget Bate Tichenor, Carel Willink, and John Rogers Cox.

Frida Kahlo is associated with the magic realism art movement, alongside artists such as Marcial Gómez Parejo, Zachary Selig, Aaron Bohrod, Marcela Donoso, Ricco, Lodewijk Bruckman, Bettina Shaw-Lawrence, Colleen Browning, Bridget Bate Tichenor, Carel Willink, and John Rogers Cox.


Question: where is taylor swift from

You are a graph analyst and you have been given a graph G among "taylor swift", "united states of america", "andrea finlay", "sunny sweeney", "clint black", "bryn mawr", "scott kingsley swift", "houston", "pennsylvania", "wyomissing", "austin swift", "taylor_swift.jpg", "reading", "taylor swift discography". G has the following directed edges: "scott kingsley swift"-(people.person.nationality)->"united states of america", "scott kingsley swift"-(people.person.place_of_birth)->"bryn mawr", "sunny sweeney"-(people.person.nationality)->"united states of america", "sunny sweeney"-(people.person.place_of_birth)->"houston", "austin swift"-(people.person.parents)->"scott kingsley swift", "austin swift"-(people.person.place_of_birth)->"pennsylvania", "taylor swift"-(people.person.parents)->"scott kingsley swift", "taylor swift"-(common.image.appears_in_topic_gallery)->"taylor swift discography", "taylor swift"-(music.artist.origin)->"wyomissing", "taylor swift"-(people.person.place_of_birth)->"reading", "taylor_swift.jpg"-(common.image.appears_in_topic_gallery)->"taylor swift", "andrea finlay"-(people.person.place_of_birth)->"pennsylvania", "bryn mawr"-(location.location.people_born_here)->"scott kingsley swift", "clint black"-(music.artist.origin)->"houston".

node_id,node_attr
16,taylor swift
21,united states of america
131,andrea finlay
274,sunny sweeney
305,clint black
470,bryn mawr
514,scott kingsley swift
546,houston
620,pennsylvania
692,wyomissing
698,austin swift
732,taylor_swift.jpg
857,reading
1160,taylor swift discography

src,edge_attr,dst
514,people.person.nationality,21
274,people.person.nationality,21
698,people.person.parents,514
16,people.person.parents,514
16,common.image.appears_in_topic_gallery,1160
732,common.image.appears_in_topic_gallery,16
698,people.person.place_of_birth,620
16,music.artist.origin,692
131,people.person.place_of_birth,620
16,people.person.place_of_birth,857
470,location.location.people_born_here,514
305,music.artist.origin,546
274,people.person.place_of_birth,546
514,people.person.place_of_birth,470

G describes a graph among nodes "taylor swift", "united states of america", "andrea finlay", "sunny sweeney", "clint black", "bryn mawr", "scott kingsley swift", "houston", "pennsylvania", "wyomissing", "austin swift", "taylor_swift.jpg", "reading", "taylor swift discography".In this graph: Node "scott kingsley swift" has outgoing edges to: "united states of america" with relation "people.person.nationality". Node "scott kingsley swift" has outgoing edges to: "bryn mawr" with relation "people.person.place_of_birth". Node "sunny sweeney" has outgoing edges to: "united states of america" with relation "people.person.nationality". Node "sunny sweeney" has outgoing edges to: "houston" with relation "people.person.place_of_birth". Node "austin swift" has outgoing edges to: "scott kingsley swift" with relation "people.person.parents". Node "austin swift" has outgoing edges to: "pennsylvania" with relation "people.person.place_of_birth". Node "taylor swift" has outgoing edges to: "scott kingsley swift" with relation "people.person.parents". Node "taylor swift" has outgoing edges to: "taylor swift discography" with relation "common.image.appears_in_topic_gallery". Node "taylor swift" has outgoing edges to: "wyomissing" with relation "music.artist.origin". Node "taylor swift" has outgoing edges to: "reading" with relation "people.person.place_of_birth". Node "taylor_swift.jpg" has outgoing edges to: "taylor swift" with relation "common.image.appears_in_topic_gallery". Node "andrea finlay" has outgoing edges to: "pennsylvania" with relation "people.person.place_of_birth". Node "bryn mawr" has outgoing edges to: "scott kingsley swift" with relation "location.location.people_born_here". Node "clint black" has outgoing edges to: "houston" with relation "music.artist.origin".

("scott kingsley swift", "people.person.nationality", "united states of america"), ("scott kingsley swift", "people.person.place_of_birth", "bryn mawr"), ("sunny sweeney", "people.person.nationality", "united states of america"), ("sunny sweeney", "people.person.place_of_birth", "houston"), ("austin swift", "people.person.parents", "scott kingsley swift"), ("austin swift", "people.person.place_of_birth", "pennsylvania"), ("taylor swift", "people.person.parents", "scott kingsley swift"), ("taylor swift", "common.image.appears_in_topic_gallery", "taylor swift discography"), ("taylor swift", "music.artist.origin", "wyomissing"), ("taylor swift", "people.person.place_of_birth", "reading"), ("taylor_swift.jpg", "common.image.appears_in_topic_gallery", "taylor swift"), ("andrea finlay", "people.person.place_of_birth", "pennsylvania"), ("bryn mawr", "location.location.people_born_here", "scott kingsley swift"), ("clint black", "music.artist.origin", "houston")

Scott Kingsley Swift, born in Bryn Mawr, Pennsylvania, is an American from the United States of America. He is the father of Austin Swift, born in Pennsylvania, and Taylor Swift, born in Reading, Pennsylvania, who hails from Wyomissing and has images appearing in Taylor Swift's discography gallery. Taylor Swift's image is also featured in Taylor Swift's topic gallery. Sunny Sweeney, another American from Houston, Texas, shares a birthplace state with Clint Black, an artist also originating from Houston. Andrea Finlay was born in Pennsylvania.

Taylor Swift was born in Reading, Pennsylvania, and her origin is noted as Wyomissing, Pennsylvania. Her father, Scott Kingsley Swift, was born in Bryn Mawr, Pennsylvania.

Taylor Swift was born in Reading and her origin is listed as Wyomissing, both located in Pennsylvania, United States of America. Her father, Scott Kingsley Swift, was also born in Bryn Mawr, Pennsylvania.

Taylor Swift was born in Reading and her origin is listed as Wyomissing, both locations are in the United States of America.


Question: what type of religion does argentina have

You are a graph analyst and you have been given a graph G among "argentina", "judaism", "catholicism", "m.0rgks1y", "m.05bp679", "m.0j1c38n", "m.05bp67g", "government of argentina", "m.0rgmpyl", ""argentine ministry of foreign affairs, international trade and worship"", "m.05bp674", "protestantism", "statoids of argentina". G has the following directed edges: "m.0j1c38n"-(common.webpage.topic)->"argentina", "m.0j1c38n"-(common.webpage.resource)->"statoids of argentina", "argentina"-(location.statistical_region.religions)->"m.05bp67g", "argentina"-(location.statistical_region.religions)->"m.05bp674", "argentina"-(government.governmental_jurisdiction.government)->"government of argentina", "argentina"-(religion.religious_leadership_jurisdiction.leader)->"m.0rgks1y", "argentina"-(religion.religious_leadership_jurisdiction.leader)->"m.0rgmpyl", ""argentine ministry of foreign affairs, international trade and worship""-(government.government_agency.jurisdiction)->"argentina", "m.0rgmpyl"-(religion.religious_organization_leadership.jurisdiction)->"argentina", "m.0rgks1y"-(religion.religious_organization_leadership.jurisdiction)->"argentina", "judaism"-(religion.religion.branched_into)->"catholicism", "m.05bp679"-(location.religion_percentage.religion)->"catholicism", "m.05bp674"-(location.religion_percentage.religion)->"protestantism", "m.05bp67g"-(location.religion_percentage.religion)->"judaism", "catholicism"-(religion.religion.branched_from)->"judaism".

node_id,node_attr
3,argentina
214,judaism
215,catholicism
621,m.0rgks1y
773,m.05bp679
828,m.0j1c38n
912,m.05bp67g
1012,government of argentina
1029,m.0rgmpyl
1045,"argentine ministry of foreign affairs, international trade and worship"
1381,m.05bp674
1633,protestantism
1789,statoids of argentina

src,edge_attr,dst
828,common.webpage.topic,3
828,common.webpage.resource,1789
3,location.statistical_region.religions,912
3,location.statistical_region.religions,1381
1045,government.government_agency.jurisdiction,3
3,government.governmental_jurisdiction.government,1012
1029,religion.religious_organization_leadership.jurisdiction,3
621,religion.religious_organization_leadership.jurisdiction,3
214,religion.religion.branched_into,215
773,location.religion_percentage.religion,215
3,religion.religious_leadership_jurisdiction.leader,621
1381,location.religion_percentage.religion,1633
912,location.religion_percentage.religion,214
3,religion.religious_leadership_jurisdiction.leader,1029
215,religion.religion.branched_from,214

G describes a graph among nodes "argentina", "judaism", "catholicism", "m.0rgks1y", "m.05bp679", "m.0j1c38n", "m.05bp67g", "government of argentina", "m.0rgmpyl", ""argentine ministry of foreign affairs, international trade and worship"", "m.05bp674", "protestantism", "statoids of argentina".In this graph: Node "m.0j1c38n" has outgoing edges to: "argentina" with relation "common.webpage.topic". Node "m.0j1c38n" has outgoing edges to: "statoids of argentina" with relation "common.webpage.resource". Node "argentina" has outgoing edges to: "m.05bp67g", "m.05bp674" with relation "location.statistical_region.religions". Node "argentina" has outgoing edges to: "government of argentina" with relation "government.governmental_jurisdiction.government". Node "argentina" has outgoing edges to: "m.0rgks1y", "m.0rgmpyl" with relation "religion.religious_leadership_jurisdiction.leader". Node ""argentine ministry of foreign affairs, international trade and worship"" has outgoing edges to: "argentina" with relation "government.government_agency.jurisdiction". Node "m.0rgmpyl" has outgoing edges to: "argentina" with relation "religion.religious_organization_leadership.jurisdiction". Node "m.0rgks1y" has outgoing edges to: "argentina" with relation "religion.religious_organization_leadership.jurisdiction". Node "judaism" has outgoing edges to: "catholicism" with relation "religion.religion.branched_into". Node "m.05bp679" has outgoing edges to: "catholicism" with relation "location.religion_percentage.religion". Node "m.05bp674" has outgoing edges to: "protestantism" with relation "location.religion_percentage.religion". Node "m.05bp67g" has outgoing edges to: "judaism" with relation "location.religion_percentage.religion". Node "catholicism" has outgoing edges to: "judaism" with relation "religion.religion.branched_from".

("m.0j1c38n", "common.webpage.topic", "argentina"), ("m.0j1c38n", "common.webpage.resource", "statoids of argentina"), ("argentina", "location.statistical_region.religions", "m.05bp67g"), ("argentina", "location.statistical_region.religions", "m.05bp674"), ("argentina", "government.governmental_jurisdiction.government", "government of argentina"), ("argentina", "religion.religious_leadership_jurisdiction.leader", "m.0rgks1y"), ("argentina", "religion.religious_leadership_jurisdiction.leader", "m.0rgmpyl"), (""argentine ministry of foreign affairs, international trade and worship"", "government.government_agency.jurisdiction", "argentina"), ("m.0rgmpyl", "religion.religious_organization_leadership.jurisdiction", "argentina"), ("m.0rgks1y", "religion.religious_organization_leadership.jurisdiction", "argentina"), ("judaism", "religion.religion.branched_into", "catholicism"), ("m.05bp679", "location.religion_percentage.religion", "catholicism"), ("m.05bp674", "location.religion_percentage.religion", "protestantism"), ("m.05bp67g", "location.religion_percentage.religion", "judaism"), ("catholicism", "religion.religion.branched_from", "judaism")

The webpage titled "Statoids of Argentina" discusses topics related to Argentina, a country governed by the Government of Argentina, which includes the Argentine Ministry of Foreign Affairs, International Trade, and Worship. Religions in Argentina include Catholicism, Protestantism, and Judaism, with Catholicism and Protestantism being significant branches, the former branching from Judaism. The religious leadership in Argentina is headed by figures such as m.0rgks1y and m.0rgmpyl, both overseeing jurisdictions within the country. Demographically, Judaism constitutes a part of the religious landscape, alongside Catholicism and Protestantism, which are represented by entities m.05bp67g, m.05bp674, and m.05bp679, respectively.

Argentina has multiple religious affiliations present, with Catholicism being one of the predominant religions, alongside significant percentages of Protestantism and Judaism reported in statistical data.

In Argentina, the predominant religions include Catholicism, Protestantism, and Judaism, with Catholicism having a significant presence as indicated by related data entries. Protestantism and Judaism also hold notable percentages within the population.

In Argentina, the predominant religions based on statistical representation include Catholicism, Protestantism, and Judaism, with Catholicism being the largest group among these.

In Argentina, Catholicism is one of the predominant religions, alongside Protestantism and Judaism, which are also represented in the religious demographics of the country. Catholicism has the highest reported percentage among these, reflecting its significant presence.

Argentina's religious landscape includes Catholicism, Protestantism, and Judaism, with Catholicism being the predominant religion among the mentioned denominations. Protestantism and Judaism also hold significant presences, though specific percentage data for each is not detailed in the graph beyond identifying their presence.


Question: when is the last time the giants won the world series

You are a graph analyst and you have been given a graph G among "national league west", "arizona diamondbacks", "san francisco giants", "2010 world series", "2002 world series", "2014 world series", "colorado rockies", "san diego padres", "los angeles dodgers". G has the following directed edges: "san francisco giants"-(sports.sports_team.championships)->"2014 world series", "san francisco giants"-(baseball.baseball_team.division)->"national league west", "2002 world series"-(sports.sports_championship_event.runner_up)->"san francisco giants", "2010 world series"-(time.event.participant)->"san francisco giants", "colorado rockies"-(baseball.baseball_team.division)->"national league west", "san diego padres"-(baseball.baseball_team.division)->"national league west", "los angeles dodgers"-(baseball.baseball_team.division)->"national league west", "arizona diamondbacks"-(baseball.baseball_team.division)->"national league west".

node_id,node_attr
8,national league west
9,arizona diamondbacks
14,san francisco giants
20,2010 world series
66,2002 world series
79,2014 world series
142,colorado rockies
175,san diego padres
551,los angeles dodgers

src,edge_attr,dst
14,sports.sports_team.championships,79
66,sports.sports_championship_event.runner_up,14
20,time.event.participant,14
142,baseball.baseball_team.division,8
175,baseball.baseball_team.division,8
14,baseball.baseball_team.division,8
551,baseball.baseball_team.division,8
9,baseball.baseball_team.division,8

G describes a graph among nodes "national league west", "arizona diamondbacks", "san francisco giants", "2010 world series", "2002 world series", "2014 world series", "colorado rockies", "san diego padres", "los angeles dodgers".In this graph: Node "san francisco giants" has outgoing edges to: "2014 world series" with relation "sports.sports_team.championships". Node "san francisco giants" has outgoing edges to: "national league west" with relation "baseball.baseball_team.division". Node "2002 world series" has outgoing edges to: "san francisco giants" with relation "sports.sports_championship_event.runner_up". Node "2010 world series" has outgoing edges to: "san francisco giants" with relation "time.event.participant". Node "colorado rockies" has outgoing edges to: "national league west" with relation "baseball.baseball_team.division". Node "san diego padres" has outgoing edges to: "national league west" with relation "baseball.baseball_team.division". Node "los angeles dodgers" has outgoing edges to: "national league west" with relation "baseball.baseball_team.division". Node "arizona diamondbacks" has outgoing edges to: "national league west" with relation "baseball.baseball_team.division".

("san francisco giants", "sports.sports_team.championships", "2014 world series"), ("san francisco giants", "baseball.baseball_team.division", "national league west"), ("2002 world series", "sports.sports_championship_event.runner_up", "san francisco giants"), ("2010 world series", "time.event.participant", "san francisco giants"), ("colorado rockies", "baseball.baseball_team.division", "national league west"), ("san diego padres", "baseball.baseball_team.division", "national league west"), ("los angeles dodgers", "baseball.baseball_team.division", "national league west"), ("arizona diamondbacks", "baseball.baseball_team.division", "national league west")

The San Francisco Giants, competing in the National League West division alongside the Colorado Rockies, San Diego Padres, Los Angeles Dodgers, and Arizona Diamondbacks, won the 2014 World Series, previously participated in the 2010 World Series, and were the runner-up in the 2002 World Series.

The San Francisco Giants last won the World Series in 2014. They were also participants in the 2010 World Series and were the runner-up in the 2002 World Series.

The San Francisco Giants last won the World Series in 2014. They also participated in the World Series in 2010 but were not identified as champions that year, and were runners-up in 2002.

The San Francisco Giants last won the World Series in 2014. They also participated in the World Series in 2010 and were the runner-up in 2002.

The San Francisco Giants last won the World Series in 2014. They also participated in the World Series in 2010 and were runners-up in 2002.


Question: what is the main language used in china

You are a graph analyst and you have been given a graph G among "china", "standard chinese", "chinese language", "zhuang languages". G has the following directed edges: "zhuang languages"-(language.human_language.countries_spoken_in)->"china", "standard chinese"-(language.human_language.main_country)->"china", "standard chinese"-(language.language_dialect.language)->"chinese language".

node_id,node_attr
0,china
289,standard chinese
533,chinese language
1162,zhuang languages

src,edge_attr,dst
1162,language.human_language.countries_spoken_in,0
289,language.human_language.main_country,0
289,language.language_dialect.language,533

G describes a graph among nodes "china", "standard chinese", "chinese language", "zhuang languages".In this graph: Node "zhuang languages" has outgoing edges to: "china" with relation "language.human_language.countries_spoken_in". Node "standard chinese" has outgoing edges to: "china" with relation "language.human_language.main_country". Node "standard chinese" has outgoing edges to: "chinese language" with relation "language.language_dialect.language".

("zhuang languages", "language.human_language.countries_spoken_in", "china"), ("standard chinese", "language.human_language.main_country", "china"), ("standard chinese", "language.language_dialect.language", "chinese language")

Zhuang languages are spoken in China, standard Chinese is primarily spoken in China, and standard Chinese is a dialect of the Chinese language.

Standard Chinese serves as the main language in China, with Chinese language being its broader linguistic category.

Standard Chinese is the main language spoken in China, and it belongs to the broader Chinese language family.

Standard Chinese, a dialect of the Chinese language, is recognized as the main language in China.

Standard Chinese is the main language used in China, classified under the broader Chinese language category.

Standard Chinese is the main language used in China, and it falls under the broader category of the Chinese language.


Question: where did the battle of waterloo occur

You are a graph analyst and you have been given a graph G among "france", "netherlands", "hundred days", "siege of toulon", "battle of waterloo", "battle of la rothière", "belgium", "war of the first coalition", "war of the fifth coalition", "italy", "neapolitan war", "battle of fleurus", "flanders campaign", "battle of bar-sur-aube", "battle of waterloo 1815", "map of the waterloo campaign". G has the following directed edges: "battle of waterloo"-(time.event.included_in_event)->"hundred days", "hundred days"-(common.topic.image)->"map of the waterloo campaign", "hundred days"-(time.event.locations)->"belgium", "hundred days"-(time.event.locations)->"italy", "battle of waterloo 1815"-(common.image.appears_in_topic_gallery)->"battle of waterloo", "siege of toulon"-(time.event.locations)->"france", "flanders campaign"-(time.event.locations)->"netherlands", "war of the first coalition"-(time.event.locations)->"italy", "war of the first coalition"-(time.event.locations)->"france", "battle of la rothière"-(time.event.locations)->"france", "war of the fifth coalition"-(time.event.locations)->"netherlands", "war of the fifth coalition"-(time.event.locations)->"italy", "battle of fleurus"-(time.event.locations)->"belgium", "battle of bar-sur-aube"-(time.event.locations)->"france", "neapolitan war"-(time.event.locations)->"italy".

node_id,node_attr
18,france
29,netherlands
35,hundred days
36,siege of toulon
56,battle of waterloo
73,battle of la rothière
175,belgium
186,war of the first coalition
248,war of the fifth coalition
251,italy
418,neapolitan war
448,battle of fleurus
462,flanders campaign
576,battle of bar-sur-aube
776,battle of waterloo 1815
1175,map of the waterloo campaign

src,edge_attr,dst
56,time.event.included_in_event,35
35,common.topic.image,1175
776,common.image.appears_in_topic_gallery,56
35,time.event.locations,175
36,time.event.locations,18
462,time.event.locations,29
186,time.event.locations,251
73,time.event.locations,18
186,time.event.locations,18
35,time.event.locations,251
248,time.event.locations,29
248,time.event.locations,251
448,time.event.locations,175
576,time.event.locations,18
418,time.event.locations,251

G describes a graph among nodes "france", "netherlands", "hundred days", "siege of toulon", "battle of waterloo", "battle of la rothière", "belgium", "war of the first coalition", "war of the fifth coalition", "italy", "neapolitan war", "battle of fleurus", "flanders campaign", "battle of bar-sur-aube", "battle of waterloo 1815", "map of the waterloo campaign".In this graph: Node "battle of waterloo" has outgoing edges to: "hundred days" with relation "time.event.included_in_event". Node "hundred days" has outgoing edges to: "map of the waterloo campaign" with relation "common.topic.image". Node "hundred days" has outgoing edges to: "belgium", "italy" with relation "time.event.locations". Node "battle of waterloo 1815" has outgoing edges to: "battle of waterloo" with relation "common.image.appears_in_topic_gallery". Node "siege of toulon" has outgoing edges to: "france" with relation "time.event.locations". Node "flanders campaign" has outgoing edges to: "netherlands" with relation "time.event.locations". Node "war of the first coalition" has outgoing edges to: "italy", "france" with relation "time.event.locations". Node "battle of la rothière" has outgoing edges to: "france" with relation "time.event.locations". Node "war of the fifth coalition" has outgoing edges to: "netherlands", "italy" with relation "time.event.locations". Node "battle of fleurus" has outgoing edges to: "belgium" with relation "time.event.locations". Node "battle of bar-sur-aube" has outgoing edges to: "france" with relation "time.event.locations". Node "neapolitan war" has outgoing edges to: "italy" with relation "time.event.locations".

("battle of waterloo", "time.event.included_in_event", "hundred days"), ("hundred days", "common.topic.image", "map of the waterloo campaign"), ("hundred days", "time.event.locations", "belgium"), ("hundred days", "time.event.locations", "italy"), ("battle of waterloo 1815", "common.image.appears_in_topic_gallery", "battle of waterloo"), ("siege of toulon", "time.event.locations", "france"), ("flanders campaign", "time.event.locations", "netherlands"), ("war of the first coalition", "time.event.locations", "italy"), ("war of the first coalition", "time.event.locations", "france"), ("battle of la rothière", "time.event.locations", "france"), ("war of the fifth coalition", "time.event.locations", "netherlands"), ("war of the fifth coalition", "time.event.locations", "italy"), ("battle of fleurus", "time.event.locations", "belgium"), ("battle of bar-sur-aube", "time.event.locations", "france"), ("neapolitan war", "time.event.locations", "italy")

The Battle of Waterloo, part of the Hundred Days, unfolded in Belgium alongside other events like the Flanders Campaign in the Netherlands and the War of the Fifth Coalition in both Italy and the Netherlands. The Hundred Days, also depicted in a map of the Waterloo campaign, intersected with the War of the First Coalition, which spanned France and Italy, and the Neapolitan War in Italy. Other significant battles and events included the Siege of Toulon in France, the Battle of La Rothière in France, the Battle of Fleurus in Belgium, and the Battle of Bar-sur-Aube in France, all contributing to the broader military engagements of the period.

The Battle of Waterloo occurred in Belgium as part of the Hundred Days campaign.

The Battle of Waterloo occurred in Belgium, as part of the Hundred Days events which involved multiple locations including Belgium.

The Battle of Waterloo occurred in Belgium, as part of the Hundred Days campaign, which also involved locations such as Italy but primarily focused on the events in Belgium where key battles like Waterloo took place.


Question: who did vladimir lenin marry

You are a graph analyst and you have been given a graph G among "vladimir lenin", "paulo freire", ""lenin was jailed for 14 months in an open prison from where he continued to correspond with revolutionaries, engineer strikes and walk-outs, and began writing his first major work, 'the development of capitalism in russia.' in february 1897, lenin was exiled to siberia for three years, where he was joined by his fiancže, nadezhda krupskaya, whom he married in july 1898."", "nadezhda krupskaya", "m.0ngmxdv", "marriage", "m.0w87_75", "carlos the jackal", "maria alexandrovna ulyanova", "ilya ulyanov", "m.0r59lvr", ""in august 1893, lenin moved to st. petersburg where he nominally practised as a public defender, but concentrated most of his efforts on developing links with other revolutionary marxists, one of whom was his future wife, nadezhda krupskaya."", "vladimir ilyich lenin knew peter alexeyevich kropotkin", "m.0j81_b0", "m.0j4l7jb", "m.0gvyr9t", "m.0ngmx6h". G has the following directed edges: "vladimir ilyich lenin knew peter alexeyevich kropotkin"-(base.kwebbase.kwconnection.subject)->"vladimir lenin", "vladimir lenin"-(base.kwebbase.kwtopic.has_sentences)->""in august 1893, lenin moved to st. petersburg where he nominally practised as a public defender, but concentrated most of his efforts on developing links with other revolutionary marxists, one of whom was his future wife, nadezhda krupskaya."", "vladimir lenin"-(base.kwebbase.kwtopic.has_sentences)->""lenin was jailed for 14 months in an open prison from where he continued to correspond with revolutionaries, engineer strikes and walk-outs, and began writing his first major work, 'the development of capitalism in russia.' in february 1897, lenin was exiled to siberia for three years, where he was joined by his fiancže, nadezhda krupskaya, whom he married in july 1898."", "m.0ngmx6h"-(people.marriage.type_of_union)->"marriage", "m.0ngmx6h"-(people.marriage.spouse)->"paulo freire", "m.0j81_b0"-(people.marriage.type_of_union)->"marriage", "m.0j81_b0"-(people.marriage.spouse)->"ilya ulyanov", "m.0j81_b0"-(people.marriage.spouse)->"maria alexandrovna ulyanova", "m.0gvyr9t"-(people.marriage.type_of_union)->"marriage", "m.0gvyr9t"-(people.marriage.spouse)->"carlos the jackal", "m.0j4l7jb"-(people.marriage.type_of_union)->"marriage", "m.0j4l7jb"-(people.marriage.spouse)->"nadezhda krupskaya", "m.0j4l7jb"-(people.marriage.spouse)->"vladimir lenin", "m.0w87_75"-(people.marriage.spouse)->"carlos the jackal", "m.0ngmxdv"-(people.marriage.spouse)->"paulo freire", "m.0r59lvr"-(people.marriage.spouse)->"carlos the jackal".

node_id,node_attr
5,vladimir lenin
13,paulo freire
93,"lenin was jailed for 14 months in an open prison from where he continued to correspond with revolutionaries, engineer strikes and walk-outs, and began writing his first major work, 'the development of capitalism in russia.' in february 1897, lenin was exiled to siberia for three years, where he was joined by his fiancže, nadezhda krupskaya, whom he married in july 1898."
158,nadezhda krupskaya
221,m.0ngmxdv
222,marriage
269,m.0w87_75
270,carlos the jackal
282,maria alexandrovna ulyanova
468,ilya ulyanov
550,m.0r59lvr
659,"in august 1893, lenin moved to st. petersburg where he nominally practised as a public defender, but concentrated most of his efforts on developing links with other revolutionary marxists, one of whom was his future wife, nadezhda krupskaya."
686,vladimir ilyich lenin knew peter alexeyevich kropotkin
750,m.0j81_b0
962,m.0j4l7jb
1301,m.0gvyr9t
1538,m.0ngmx6h

src,edge_attr,dst
686,base.kwebbase.kwconnection.subject,5
5,base.kwebbase.kwtopic.has_sentences,659
5,base.kwebbase.kwtopic.has_sentences,93
1538,people.marriage.type_of_union,222
750,people.marriage.type_of_union,222
1301,people.marriage.type_of_union,222
962,people.marriage.type_of_union,222
269,people.marriage.spouse,270
750,people.marriage.spouse,468
221,people.marriage.spouse,13
1301,people.marriage.spouse,270
550,people.marriage.spouse,270
1538,people.marriage.spouse,13
962,people.marriage.spouse,158
962,people.marriage.spouse,5
750,people.marriage.spouse,282

G describes a graph among nodes "vladimir lenin", "paulo freire", ""lenin was jailed for 14 months in an open prison from where he continued to correspond with revolutionaries, engineer strikes and walk-outs, and began writing his first major work, 'the development of capitalism in russia.' in february 1897, lenin was exiled to siberia for three years, where he was joined by his fiancže, nadezhda krupskaya, whom he married in july 1898."", "nadezhda krupskaya", "m.0ngmxdv", "marriage", "m.0w87_75", "carlos the jackal", "maria alexandrovna ulyanova", "ilya ulyanov", "m.0r59lvr", ""in august 1893, lenin moved to st. petersburg where he nominally practised as a public defender, but concentrated most of his efforts on developing links with other revolutionary marxists, one of whom was his future wife, nadezhda krupskaya."", "vladimir ilyich lenin knew peter alexeyevich kropotkin", "m.0j81_b0", "m.0j4l7jb", "m.0gvyr9t", "m.0ngmx6h".In this graph: Node "vladimir ilyich lenin knew peter alexeyevich kropotkin" has outgoing edges to: "vladimir lenin" with relation "base.kwebbase.kwconnection.subject". Node "vladimir lenin" has outgoing edges to: ""in august 1893, lenin moved to st. petersburg where he nominally practised as a public defender, but concentrated most of his efforts on developing links with other revolutionary marxists, one of whom was his future wife, nadezhda krupskaya."", ""lenin was jailed for 14 months in an open prison from where he continued to correspond with revolutionaries, engineer strikes and walk-outs, and began writing his first major work, 'the development of capitalism in russia.' in february 1897, lenin was exiled to siberia for three years, where he was joined by his fiancže, nadezhda krupskaya, whom he married in july 1898."" with relation "base.kwebbase.kwtopic.has_sentences". Node "m.0ngmx6h" has outgoing edges to: "marriage" with relation "people.marriage.type_of_union". Node "m.0ngmx6h" has outgoing edges to: "paulo freire" with relation "people.marriage.spouse". Node "m.0j81_b0" has outgoing edges to: "marriage" with relation "people.marriage.type_of_union". Node "m.0j81_b0" has outgoing edges to: "ilya ulyanov", "maria alexandrovna ulyanova" with relation "people.marriage.spouse". Node "m.0gvyr9t" has outgoing edges to: "marriage" with relation "people.marriage.type_of_union". Node "m.0gvyr9t" has outgoing edges to: "carlos the jackal" with relation "people.marriage.spouse". Node "m.0j4l7jb" has outgoing edges to: "marriage" with relation "people.marriage.type_of_union". Node "m.0j4l7jb" has outgoing edges to: "nadezhda krupskaya", "vladimir lenin" with relation "people.marriage.spouse". Node "m.0w87_75" has outgoing edges to: "carlos the jackal" with relation "people.marriage.spouse". Node "m.0ngmxdv" has outgoing edges to: "paulo freire" with relation "people.marriage.spouse". Node "m.0r59lvr" has outgoing edges to: "carlos the jackal" with relation "people.marriage.spouse".

("vladimir ilyich lenin knew peter alexeyevich kropotkin", "base.kwebbase.kwconnection.subject", "vladimir lenin"), ("vladimir lenin", "base.kwebbase.kwtopic.has_sentences", ""in august 1893, lenin moved to st. petersburg where he nominally practised as a public defender, but concentrated most of his efforts on developing links with other revolutionary marxists, one of whom was his future wife, nadezhda krupskaya.""), ("vladimir lenin", "base.kwebbase.kwtopic.has_sentences", ""lenin was jailed for 14 months in an open prison from where he continued to correspond with revolutionaries, engineer strikes and walk-outs, and began writing his first major work, 'the development of capitalism in russia.' in february 1897, lenin was exiled to siberia for three years, where he was joined by his fiancže, nadezhda krupskaya, whom he married in july 1898.""), ("m.0ngmx6h", "people.marriage.type_of_union", "marriage"), ("m.0ngmx6h", "people.marriage.spouse", "paulo freire"), ("m.0j81_b0", "people.marriage.type_of_union", "marriage"), ("m.0j81_b0", "people.marriage.spouse", "ilya ulyanov"), ("m.0j81_b0", "people.marriage.spouse", "maria alexandrovna ulyanova"), ("m.0gvyr9t", "people.marriage.type_of_union", "marriage"), ("m.0gvyr9t", "people.marriage.spouse", "carlos the jackal"), ("m.0j4l7jb", "people.marriage.type_of_union", "marriage"), ("m.0j4l7jb", "people.marriage.spouse", "nadezhda krupskaya"), ("m.0j4l7jb", "people.marriage.spouse", "vladimir lenin"), ("m.0w87_75", "people.marriage.spouse", "carlos the jackal"), ("m.0ngmxdv", "people.marriage.spouse", "paulo freire"), ("m.0r59lvr", "people.marriage.spouse", "carlos the jackal")

Vladimir Lenin knew Peter Alexeyevich Kropotkin. In August 1893, Lenin relocated to St. Petersburg, where he focused on connecting with other revolutionary Marxists, including his future wife, Nadezhda Krupskaya. Lenin was imprisoned for 14 months in an open prison, during which he maintained correspondence with revolutionaries, organized strikes, and started writing "The Development of Capitalism in Russia." Exiled to Siberia in February 1897, Lenin spent three years there, marrying Nadezhda Krupskaya in July 1898.  Lenin was also married to Nadezhda Krupskaya, and other individuals mentioned were married to figures like Paulo Freire, Ilya Ulyanov, Maria Alexandrovna Ulyanova, and Carlos the Jackal.

Vladimir Lenin married Nadezhda Krupskaya in July 1898 while he was in exile in Siberia.

Vladimir Lenin married Nadezhda Krupskaya in July 1898 while he was exiled in Siberia; they became engaged before this, with Krupskaya joining him there during his exile.

Vladimir Lenin married Nadezhda Krupskaya in July 1898 while he was exiled in Siberia.

Vladimir Lenin married Nadezhda Krupskaya in July 1898 while he was exiled in Siberia; she had joined him there as his fiancée earlier.