Triple

T21869516
Position Surface form Disambiguated ID Type / Status
Subject Burning E539965 entity
Predicate castMember P1668 FINISHED
Object Steven Yeun 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: Steven Yeun | Statement: [Burning, castMember, Steven Yeun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steven Yeun
Context triple: [Burning, castMember, Steven Yeun]
  • A. Steven Yeun chosen
    Steven Yeun is a Korean-American actor best known for his roles in the TV series "The Walking Dead" and the films "Minari" and "Burning."
  • B. Lee Jung-jae
    Lee Jung-jae is a South Korean actor and former model renowned for his versatile film and television roles, gaining worldwide fame for his performance in the Netflix series "Squid Game."
  • C. Yeon Jung-hoon
    Yeon Jung-hoon is a South Korean actor known for his roles in television dramas and films, as well as for being the son of veteran actor Yeon Kyu-jin and the husband of actress Han Ga-in.
  • D. Stephen Park
    Stephen Park is a Korean American actor and comedian known for his roles in films such as Fargo and The French Dispatch, as well as his work on the sketch series In Living Color.
  • E. Park Joon-hyung
    Park Joon-hyung is a South Korean film producer best known for his work on the hit fantasy-comedy movie "Miss Granny."
  • 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_69e0c478f59081909d54302b57fc1ce3 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f0f334362c819094af465ee57b47e6 completed April 28, 2026, 5:49 p.m.
Created at: April 16, 2026, 6:57 p.m.