Triple

T20947932
Position Surface form Disambiguated ID Type / Status
Subject Kim Ki-young E515899 entity
Predicate name P16 FINISHED
Object Kim Ki-young 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: Kim Ki-young | Statement: [Kim Ki-young, name, Kim Ki-young]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kim Ki-young
Context triple: [Kim Ki-young, name, Kim Ki-young]
  • A. Kim Ki-young chosen
    Kim Ki-young was a pioneering South Korean film director best known for his psychologically intense, genre-blending works such as "The Housemaid," which deeply influenced later auteurs like Bong Joon-ho.
  • B. Yoo Soon-taek
    Yoo Soon-taek is a South Korean figure best known as the wife of former United Nations Secretary-General Ban Ki-moon and for her involvement in various social and charitable activities.
  • C. Hong Joon-pyo
    Hong Joon-pyo is a South Korean conservative politician who has served as governor of South Gyeongsang Province and as a prominent national lawmaker and party leader.
  • D. Yeon Sang-ho
    Yeon Sang-ho is a South Korean filmmaker best known internationally for directing the hit zombie thriller "Train to Busan" and its related works.
  • E. Na Hong-jin
    Na Hong-jin is a South Korean filmmaker renowned for his intense, genre-blending thrillers such as "The Chaser," "The Yellow Sea," and "The Wailing."
  • 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_69e0b4fcd678819087a304291f14330a completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fadab7708190bb3a10bdd3f32d90 completed April 21, 2026, 4:19 a.m.
Created at: April 16, 2026, 12:58 p.m.