Triple

T10918359
Position Surface form Disambiguated ID Type / Status
Subject BFI Film Fund E257882 entity
Predicate abbreviation P43 FINISHED
Object BFI Film Fund E257882 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 Film Fund | Statement: [BFI Film Fund, abbreviation, BFI Film Fund]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BFI Film Fund
Context triple: [BFI Film Fund, abbreviation, BFI Film Fund]
  • A. BFI Film Fund chosen
    BFI Film Fund is a major UK public funding body that supports the development, production, and distribution of British films.
  • B. UK Film Council
    The UK Film Council was a now-defunct government-backed agency that supported and funded the development and production of British films.
  • C. British Film Institute
    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.
  • D. BFI
    BFI is a University of Chicago research institute that advances economic scholarship and policy through data-driven, market-oriented research.
  • E. 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.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d77080317881909fc50ac3576cefa8 completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23bbf70688190be9315a75582dbe2 completed April 17, 2026, 1:55 p.m.
Created at: April 8, 2026, 9:22 p.m.