Triple
T4749808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oh Se-hoon |
E105450
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object |
오세훈
오세훈은 서울특별시장으로 여러 차례 재임하며 보수 성향의 정치 행보와 도시 개발 정책으로 알려진 대한민국의 정치인이다.
|
E467917
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 오세훈 | Statement: [Oh Se-hoon, nativeName, 오세훈]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 오세훈 Context triple: [Oh Se-hoon, nativeName, 오세훈]
-
A.
손기정
손기정은 1936년 베를린 올림픽 마라톤에서 우승한 한국인 선수로, 일제강점기 조선인의 민족적 자긍심을 상징하는 인물이다.
-
B.
John Kim
John Kim is a prominent mechanical engineer and researcher renowned for his pioneering work in computational fluid dynamics and turbulence modeling.
-
C.
John Kim
John Kim is an Australian actor best known for his role as Ezekiel Jones in the fantasy-adventure television series "The Librarians."
-
D.
Kitack Lim
Kitack Lim is a South Korean maritime administrator and diplomat who served as Secretary-General of the International Maritime Organization, the United Nations agency responsible for regulating global shipping.
-
E.
Cho Sang-woo
Cho Sang-woo is a central character in the South Korean series "Squid Game," portrayed as a once-successful investment banker whose desperation and moral decline drive much of the show's tension and drama.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: 오세훈 Triple: [Oh Se-hoon, nativeName, 오세훈]
Generated description
오세훈은 서울특별시장으로 여러 차례 재임하며 보수 성향의 정치 행보와 도시 개발 정책으로 알려진 대한민국의 정치인이다.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 오세훈 Target entity description: 오세훈은 서울특별시장으로 여러 차례 재임하며 보수 성향의 정치 행보와 도시 개발 정책으로 알려진 대한민국의 정치인이다.
-
A.
손기정
손기정은 1936년 베를린 올림픽 마라톤에서 우승한 한국인 선수로, 일제강점기 조선인의 민족적 자긍심을 상징하는 인물이다.
-
B.
John Kim
John Kim is a prominent mechanical engineer and researcher renowned for his pioneering work in computational fluid dynamics and turbulence modeling.
-
C.
John Kim
John Kim is an Australian actor best known for his role as Ezekiel Jones in the fantasy-adventure television series "The Librarians."
-
D.
Kitack Lim
Kitack Lim is a South Korean maritime administrator and diplomat who served as Secretary-General of the International Maritime Organization, the United Nations agency responsible for regulating global shipping.
-
E.
Cho Sang-woo
Cho Sang-woo is a central character in the South Korean series "Squid Game," portrayed as a once-successful investment banker whose desperation and moral decline drive much of the show's tension and drama.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69bd43f07fa48190954317d01600994a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64c83af48190bd57be79c1505e9d |
completed | March 20, 2026, 3:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be3a4e0844819098bb9abb05094a89 |
completed | March 21, 2026, 6:27 a.m. |
| NEDg | Description generation | batch_69be3c9f8e048190a951b26c36cb7b23 |
completed | March 21, 2026, 6:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be3d232b888190a0fd64c55a18eb48 |
completed | March 21, 2026, 6:39 a.m. |
Created at: March 20, 2026, 1:20 p.m.