Triple

T21992340
Position Surface form Disambiguated ID Type / Status
Subject Vanity Fair (2004 film) E543121 entity
Predicate productionCompany P490 FINISHED
Object BBC Films 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: BBC Films | Statement: [Vanity Fair (2004 film), productionCompany, BBC Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BBC Films
Context triple: [Vanity Fair (2004 film), productionCompany, BBC Films]
  • A. BBC Films chosen
    BBC Films is the feature film-making arm of the BBC, known for producing and co-producing a wide range of acclaimed British and international movies.
  • B. BBC Productions
    BBC Productions is a television production arm of the British Broadcasting Corporation responsible for creating a wide range of factual and entertainment programming.
  • C. British Screen Productions
    British Screen Productions was a UK-based film production company known for supporting distinctive and often unconventional British and international cinema.
  • D. Shaftesbury Films
    Shaftesbury Films is a Canadian television and film production company known for creating popular series such as Murdoch Mysteries.
  • E. Arrow Films
    Arrow Films is a British home video and film distribution company known for releasing cult, classic, and genre cinema in high-quality restored editions.
  • 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_69e0c48136b081908831fa907cc02e18 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1270e951081908deda039b47ca84b completed April 28, 2026, 9:30 p.m.
Created at: April 16, 2026, 8:05 p.m.