Triple

T1677974
Position Surface form Disambiguated ID Type / Status
Subject Four Weddings and a Funeral E36275 entity
Predicate producer P490 FINISHED
Object Tim Bevan E154126 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: Tim Bevan | Statement: [Four Weddings and a Funeral, producer, Tim Bevan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tim Bevan
Context triple: [Four Weddings and a Funeral, producer, Tim Bevan]
  • A. Tim Bevan chosen
    Tim Bevan is a British film producer and co-founder of Working Title Films, known for overseeing numerous acclaimed UK and international movies.
  • B. Graeme Revell
    Graeme Revell is a New Zealand-born composer best known for his atmospheric film scores across genres including horror, action, and science fiction.
  • C. Ben Shepherd
    Ben Shepherd is an American musician best known as the longtime bassist for the influential grunge band Soundgarden.
  • D. Christopher Birt
    Christopher Birt is an actor best known for his role in the popular 1992 romantic thriller film "The Bodyguard."
  • E. John Brett
    John Brett was a 19th-century British painter associated with the Pre-Raphaelite movement, renowned for his highly detailed landscapes and maritime scenes.
  • 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_69a886139ed081909af0940aa9313512 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa625f7e1081909c3c4fe76625783a completed March 6, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae95e04dc88190902f2ae5ae856b20 completed March 9, 2026, 9:41 a.m.
Created at: March 4, 2026, 7:29 p.m.