Triple

T2250301
Position Surface form Disambiguated ID Type / Status
Subject Bridget Jones’s Baby E49600 entity
Predicate producer P490 FINISHED
Object Debra Hayward E224135 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: Debra Hayward | Statement: [Bridget Jones’s Baby, producer, Debra Hayward]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Debra Hayward
Context triple: [Bridget Jones’s Baby, producer, Debra Hayward]
  • A. Debra Hayward chosen
    Debra Hayward is a British film producer known for her work on major feature films, including the acclaimed musical adaptation "Les Misérables" (2012).
  • B. Debra Neil-Fisher
    Debra Neil-Fisher is an American film editor known for her work on major studio comedies and dramas, including entries in the Fifty Shades and The Hangover franchises.
  • C. Debbie Meadows
    Debbie Meadows is an American political figure and businesswoman best known as the wife of former White House Chief of Staff and congressman Mark Meadows.
  • D. Debbie Rowe
    Debbie Rowe is an American nurse best known as Michael Jackson’s ex-wife and the mother of two of his children.
  • E. Loretta Devine
    Loretta Devine is an American actress known for her warm, soulful performances in film, television, and theater, including notable roles in projects like "Waiting to Exhale" and the TV series "Grey's Anatomy."
  • 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_69a88aaa9250819095e127d0d77e8a32 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc11b61888190af3b11b87dc8e0dc completed March 7, 2026, 6:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69af9056833081908dc3a8c74f4fd4c0 completed March 10, 2026, 3:30 a.m.
Created at: March 4, 2026, 7:47 p.m.