Triple

T22703282
Position Surface form Disambiguated ID Type / Status
Subject Lee Nak-yon as Prime Minister E561378 entity
Predicate appointedBy P257 FINISHED
Object Moon Jae-in 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: Moon Jae-in | Statement: [Lee Nak-yon as Prime Minister, appointedBy, Moon Jae-in]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moon Jae-in
Context triple: [Lee Nak-yon as Prime Minister, appointedBy, Moon Jae-in]
  • A. Moon Jae-in chosen
    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.
  • B. Yoon Suk-yeol
    Yoon Suk-yeol is the President of South Korea, a former prosecutor known for his tough stance on corruption and conservative political views.
  • C. Kim Chunchu
    Kim Chunchu, better known by his temple name King Taejong Muyeol, was a 7th-century monarch of the Korean kingdom of Silla who played a key role in the unification of the Korean Peninsula.
  • D. 박근혜
    박근혜는 대한민국의 제18대 대통령으로, 한국 최초의 여성 대통령이자 박정희 전 대통령의 딸이다.
  • E. John Kim
    John Kim is an Australian actor best known for his role as Ezekiel Jones in the fantasy-adventure television series "The Librarians."
  • 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_69e2454e615481909c177440be559d2c completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f178cbf5788190bc8cd1bc71a861e5 completed April 29, 2026, 3:19 a.m.
Created at: April 17, 2026, 3:16 p.m.