Triple

T5984846
Position Surface form Disambiguated ID Type / Status
Subject Moon Jae-in E133201 entity
Predicate succeededBy P78 FINISHED
Object Yoon Suk Yeol E558069 NE FINISHED

How this triple was built (2 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: Yoon Suk Yeol | Statement: [Moon Jae-in, succeededBy, Yoon Suk Yeol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yoon Suk Yeol
Context triple: [Moon Jae-in, succeededBy, Yoon Suk Yeol]
  • A. Yoon Suk-yeol chosen
    Yoon Suk-yeol is the President of South Korea, a former prosecutor known for his tough stance on corruption and conservative political views.
  • B. Moon Jae-in
    Moon Jae-in is a South Korean politician and former human rights lawyer who served as the President of South Korea from 2017 to 2022.
  • C. 손기정
    손기정은 1936년 베를린 올림픽 마라톤에서 우승한 한국인 선수로, 일제강점기 조선인의 민족적 자긍심을 상징하는 인물이다.
  • D. John Kim
    John Kim is an Australian actor best known for his role as Ezekiel Jones in the fantasy-adventure television series "The Librarians."
  • E. John Kim
    John Kim is a prominent mechanical engineer and researcher renowned for his pioneering work in computational fluid dynamics and turbulence modeling.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c0087010d081908bb8142342d63330 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04a6dcaf08190bac27c7042e65e07 completed March 22, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11cd3988c8190aecc690a02c26c25 completed March 23, 2026, 10:58 a.m.
Created at: March 22, 2026, 4:04 p.m.