Triple

T17534503
Position Surface form Disambiguated ID Type / Status
Subject Bad Boys: Ride or Die E427020 entity
Predicate screenwriter P2831 FINISHED
Object Chris Bremner 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: Chris Bremner | Statement: [Bad Boys: Ride or Die, screenwriter, Chris Bremner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chris Bremner
Context triple: [Bad Boys: Ride or Die, screenwriter, Chris Bremner]
  • A. Chris Bremner chosen
    Chris Bremner is a screenwriter best known for his work on major Hollywood action-comedy films, including entries in the Bad Boys franchise.
  • B. Duncan Mills
    Duncan Mills is a music producer and mixer known for his work with a range of indie and alternative artists.
  • C. Keith O'Nions
    Keith O'Nions is a British geologist and academic leader who served as rector of Imperial College London and is known for his contributions to earth sciences and science policy.
  • D. Brian Minchin
    Brian Minchin is a British television producer best known for his work as an executive producer on major BBC science fiction and drama series, including Doctor Who and Torchwood.
  • E. Ian Maxtone-Graham
    Ian Maxtone-Graham is an American television writer and producer best known for his long-running work on "The Simpsons" and other animated comedy projects.
  • 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_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4536ac7f48190994f7b39a6a811d7 completed April 19, 2026, 4 a.m.
Created at: April 10, 2026, 5:49 a.m.