Triple

T9489191
Position Surface form Disambiguated ID Type / Status
Subject Brian Tyree Henry E228840 entity
Predicate playedCharacter P1507 FINISHED
Object Lemon (in Bullet Train) E411596 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: Lemon (in Bullet Train) | Statement: [Brian Tyree Henry, playedCharacter, Lemon (in Bullet Train)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lemon (in Bullet Train)
Context triple: [Brian Tyree Henry, playedCharacter, Lemon (in Bullet Train)]
  • A. Bullet Train (2022 film) chosen
    Bullet Train is a 2022 action-comedy film centered on a group of assassins with intersecting missions aboard a high-speed Japanese train, directed by David Leitch and starring Brad Pitt.
  • B. BOLT
    BOLT is the Bombay Stock Exchange’s proprietary electronic trading platform used to facilitate fast, automated securities trading in India.
  • C. Peelo
    Peelo is a residential district and former village now incorporated into the city of Assen in the Dutch province of Drenthe.
  • D. Bolt
    Bolt is a global ride-hailing and mobility platform offering services like car rides, scooters, and food delivery, competing with companies such as Uber.
  • E. Bolt
    Bolt is the athletic mascot representing Southeastern Oklahoma State University's sports teams.
  • 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_69ca847424f081908180305555139f7a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd80c5a05c8190b97d34f010e60ca1 completed April 1, 2026, 8:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12d202b748190b78e4e972b1ce08d completed April 4, 2026, 3:24 p.m.
Created at: March 30, 2026, 7:55 p.m.