Triple

T5317645
Position Surface form Disambiguated ID Type / Status
Subject The Decoy Bride E121589 entity
Predicate castMember P1668 FINISHED
Object James Fleet E117188 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: James Fleet | Statement: [The Decoy Bride, castMember, James Fleet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Fleet
Context triple: [The Decoy Bride, castMember, James Fleet]
  • A. James Fleet chosen
    James Fleet is a British actor known for his character roles in film, television, and theatre, including appearances in works like "Four Weddings and a Funeral" and numerous BBC comedies.
  • B. Keith Foulke
    Keith Foulke is a former Major League Baseball relief pitcher best known as the Boston Red Sox closer who played a pivotal role in their 2004 World Series championship run.
  • C. James Fleming
    James Fleming is a relatively common personal name shared by various individuals across fields such as politics, sports, and the arts.
  • D. James Barr
    James Barr was a prominent Scottish biblical scholar and theologian known for his influential critiques of conservative biblical interpretation and biblical linguistics.
  • E. Michael Fottrell
    Michael Fottrell is a film producer best known for his work on major action franchises, including entries in the Fast & Furious series.
  • 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_69bd463d956c819088105c3db802c017 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd855269ac8190bb7a9248d04f1823 completed March 20, 2026, 5:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf1111f104819094d7646dec32fad2 completed March 21, 2026, 9:43 p.m.
Created at: March 20, 2026, 1:59 p.m.