Triple

T19411900
Position Surface form Disambiguated ID Type / Status
Subject Ode to My Father E485606 entity
Predicate producer P490 FINISHED
Object Yoon Je-kyoon 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: Yoon Je-kyoon | Statement: [Ode to My Father, producer, Yoon Je-kyoon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yoon Je-kyoon
Context triple: [Ode to My Father, producer, Yoon Je-kyoon]
  • A. Yoon Je-kyoon chosen
    Yoon Je-kyoon is a South Korean film director, screenwriter, and producer known for commercially successful blockbusters such as "Haeundae" and "Ode to My Father."
  • B. Jung Kyung-ho
    Jung Kyung-ho is a South Korean actor known for his versatile performances in television dramas and films, including prominent roles in popular series like "Hospital Playlist" and "Prison Playbook."
  • C. Jo Jung-suk
    Jo Jung-suk is a South Korean actor known for his versatile performances in both television dramas and films, as well as his background in musical theatre.
  • D. Yoon Je-moon
    Yoon Je-moon is a South Korean actor known for his versatile performances in both critically acclaimed films and television dramas.
  • E. Yoo Yeon-seok
    Yoo Yeon-seok is a South Korean actor known for his versatile performances in television dramas and films, gaining widespread popularity through prominent medical and romantic roles.
  • 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_69d8e8d5162481909db12435d9535c1a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e62af681288190ba2ec52d5adb6a22 completed April 20, 2026, 1:32 p.m.
Created at: April 10, 2026, 1:37 p.m.