Triple

T7676137
Position Surface form Disambiguated ID Type / Status
Subject National Film Board of Canada E173865 entity
Predicate shortName P43 FINISHED
Object NFB E173865 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: NFB | Statement: [National Film Board of Canada, shortName, NFB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NFB
Context triple: [National Film Board of Canada, shortName, NFB]
  • A. National Film Board of Canada chosen
    The National Film Board of Canada is a public agency of the Canadian government renowned for producing and distributing innovative documentary, animation, and experimental films.
  • B. NAB
    NAB is one of Australia’s largest financial institutions, providing a wide range of banking and financial services to retail, business, and institutional customers across Australia and internationally.
  • C. NAB
    NAB is the commonly used abbreviation for the New American Bible, a Catholic English translation of the Bible widely used in the United States.
  • 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_69c6995703e0819081de77361b602e78 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701e333f08190a9ee87080c6d0118 completed March 27, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a23ba62881908fcdcf2ffcf6d41d completed March 29, 2026, 3:53 a.m.
Created at: March 27, 2026, 4:01 p.m.