Triple

T22989528
Position Surface form Disambiguated ID Type / Status
Subject 2007 inter-Korean summit E572006 entity
Predicate participant P858 FINISHED
Object Roh Moo-hyun NE NERFINISHED

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: Roh Moo-hyun | Statement: [2007 inter-Korean summit, participant, Roh Moo-hyun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roh Moo-hyun
Context triple: [2007 inter-Korean summit, participant, Roh Moo-hyun]
  • A. Roh Moo-hyun chosen
    Roh Moo-hyun was a South Korean human rights lawyer-turned-politician who served as the country’s president from 2003 to 2008, known for his reformist agenda and efforts to engage North Korea.
  • B. Lee Myung-bak
    Lee Myung-bak is a South Korean businessman-turned-politician who served as the President of South Korea from 2008 to 2013.
  • C. 김대중
    김대중은 대한민국의 제15대 대통령으로, 민주화 운동과 남북 화해 정책(햇볕정책)을 주도해 노벨 평화상을 수상한 정치인이다.
  • D. Roh Tae-woo
    Roh Tae-woo was a South Korean army general-turned-politician who served as the country’s president from 1988 to 1993, overseeing its transition toward greater democratization and hosting the 1988 Seoul Olympics.
  • E. 이건희
    이건희는 삼성그룹을 세계적인 전자·IT 기업으로 성장시킨 대한민국의 대표적인 기업가이자 경영자이다.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245b535808190adef8a9df3c584db completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f182ea55cc8190b64b722ce8c45b53 completed April 29, 2026, 4:02 a.m.
Created at: April 17, 2026, 3:49 p.m.