Triple

T20388209
Position Surface form Disambiguated ID Type / Status
Subject Beef E498012 entity
Predicate executiveProducer P7225 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: [Beef, executiveProducer, Steven Yeun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steven Yeun
Context triple: [Beef, executiveProducer, 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_69e0b4a71ebc8190b153a36c738730f4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6790d9e5881908bde7da9e5e541a0 completed April 20, 2026, 7:05 p.m.
Created at: April 16, 2026, 11:28 a.m.