Triple

T12108689
Position Surface form Disambiguated ID Type / Status
Subject British Film Institute E288366 entity
Predicate operates P24 FINISHED
Object BFI Publishing E288366 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: BFI Publishing | Statement: [British Film Institute, operates, BFI Publishing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BFI Publishing
Context triple: [British Film Institute, operates, BFI Publishing]
  • A. 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.
  • B. BFI
    BFI is the commonly used abbreviation for Banco Financiero Internacional, a financial institution operating in international banking and related services.
  • C. BFI
    BFI is a University of Chicago research institute that advances economic scholarship and policy through data-driven, market-oriented research.
  • D. British Film Institute chosen
    The British Film Institute is the United Kingdom’s lead organization for film culture, responsible for preserving the national film archive, promoting film education, and supporting film production and exhibition.
  • E. Clerkenwell Films
    Clerkenwell Films is a British television and film production company known for creating acclaimed dramas and comedies such as "Misfits" and "Lovesick."
  • 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_69d6ab4a5c448190a110d1273314b21a completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915632dc48190863e0239cef37e24 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f67b3f2c8190bcb2120781f91220 completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:49 p.m.