Triple

T9830235
Position Surface form Disambiguated ID Type / Status
Subject Detroit (2017 film) E238763 entity
Predicate editor P1954 FINISHED
Object Harry Yoon E734869 NE FINISHED

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: Harry Yoon | Statement: [Detroit (2017 film), editor, Harry Yoon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harry Yoon
Context triple: [Detroit (2017 film), editor, Harry Yoon]
  • A. Harry Yoon chosen
    Harry Yoon is a Korean-American film editor known for his work on acclaimed films such as "Minari" and "Detroit."
  • B. Aaron Yoo
    Aaron Yoo is an American actor known for his supporting roles in films like "Disturbia," "21," and "Nick and Norah's Infinite Playlist," as well as various television appearances.
  • C. Andy Kim
    Andy Kim is a Democratic U.S. Representative from New Jersey known for his focus on national security, government ethics, and constituent services.
  • D. Michael Kang
    Michael Kang is an American musician best known as a multi-instrumentalist and prominent member of the jam band The String Cheese Incident.
  • E. Eddie Kim
    Eddie Kim is the ruthless crime boss and primary antagonist in the action-thriller film "Snakes on a Plane," responsible for orchestrating the deadly snake attack aboard the aircraft.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca84e0dd1881909800765d1e21f735 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3282a2481908913addf2b3fa58b completed April 2, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc8ca2808190a1da0641162f12d1 completed April 5, 2026, 2:44 a.m.
Created at: March 30, 2026, 8:32 p.m.