Triple

T8336000
Position Surface form Disambiguated ID Type / Status
Subject Luther: The Fallen Sun E195786 entity
Predicate productionCompany P490 FINISHED
Object BBC Film 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 Film | Statement: [Luther: The Fallen Sun, productionCompany, BBC Film]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BBC Film
Context triple: [Luther: The Fallen Sun, productionCompany, BBC Film]
  • 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 National Films
    British National Films was a British film production company active in the mid-20th century, known for producing a range of feature films during the classic era of British cinema.
  • D. BFI
    BFI is the IATA airport code for King County International Airport, commonly known as Boeing Field, a major general aviation and cargo airport serving the Seattle, Washington area.
  • E. BFI
    BFI is a University of Chicago research institute that advances economic scholarship and policy through data-driven, market-oriented research.
  • 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_69ca82ecbdc481908a55cad8ca062d88 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7fd3fc80819097b326119107ad4d completed March 31, 2026, 8:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd95d9b92c8190b1eb0e64aa7ea59e completed April 1, 2026, 10:02 p.m.
Created at: March 30, 2026, 5:57 p.m.