Triple

T13147760
Position Surface form Disambiguated ID Type / Status
Subject Glorious 39 E312383 entity
Predicate productionCompany P490 FINISHED
Object BBC Films E115202 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: BBC Films | Statement: [Glorious 39, productionCompany, BBC Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BBC Films
Context triple: [Glorious 39, 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. 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.
  • D. Gainsborough Pictures
    Gainsborough Pictures was a prominent British film production company active in the early to mid-20th century, known for its melodramas and for helping launch the careers of notable directors and actors.
  • E. ThinkFilm
    ThinkFilm was an independent film distribution company known for releasing arthouse and specialty films in the early 2000s.
  • 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98bd0f5b08190ab700c5de1c8e138 completed April 10, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5da0f708190b848601e571a9fff completed May 3, 2026, 7:14 a.m.
Created at: April 9, 2026, 9:10 p.m.