Triple

T2250321
Position Surface form Disambiguated ID Type / Status
Subject Bridget Jones’s Baby E49600 entity
Predicate castMember P1668 FINISHED
Object Neil Pearson E271595 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: Neil Pearson | Statement: [Bridget Jones’s Baby, castMember, Neil Pearson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neil Pearson
Context triple: [Bridget Jones’s Baby, castMember, Neil Pearson]
  • A. Neil Pearson chosen
    Neil Pearson is a British actor known for his work in television, film, and theatre, including prominent roles in series like "Drop the Dead Donkey" and "Between the Lines."
  • B. Brian Pippard
    Brian Pippard was a prominent British physicist known for his pioneering work in superconductivity and for serving as Cavendish Professor of Physics at the University of Cambridge.
  • C. Ken Parry
    Ken Parry was a British character actor known for his numerous supporting roles in film and television from the 1960s through the 1980s.
  • D. Geoff Petrie
    Geoff Petrie is a former American professional basketball guard best known as an early star for the Portland Trail Blazers and later a longtime NBA executive.
  • E. Eric Pearson
    Eric Pearson is an American screenwriter best known for his work on Marvel Cinematic Universe films, including writing the screenplay for "Thor: Ragnarok."
  • 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_69a88aaa9250819095e127d0d77e8a32 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc11b61888190af3b11b87dc8e0dc completed March 7, 2026, 6:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69af2b5d9b7c8190a3c87ffacc486512 completed March 9, 2026, 8:19 p.m.
Created at: March 4, 2026, 7:47 p.m.