Triple

T19162906
Position Surface form Disambiguated ID Type / Status
Subject John Barry E469102 entity
Predicate birthName P65 FINISHED
Object John Barry Prendergast NE NERFINISHED

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: John Barry Prendergast | Statement: [John Barry, birthName, John Barry Prendergast]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Barry Prendergast
Context triple: [John Barry, birthName, John Barry Prendergast]
  • A. John Barry Prendergast chosen
    John Barry Prendergast, known professionally as John Barry, was a renowned English composer best known for his iconic film scores, particularly for the James Bond series.
  • B. John Patrick Prendergast
    John Patrick Prendergast is an Irish historian and author best known for his influential 19th-century studies of Cromwellian land confiscations and the social history of Ireland.
  • C. James Prendergast
    James Prendergast was an early settler and prominent landowner in western New York who founded the community that became Jamestown.
  • D. Thomas Francis Prendergast
    Thomas Francis Prendergast is an American prelate of the Roman Catholic Church who has served as the Archbishop of Ottawa–Cornwall in Canada.
  • E. Arthur Dignam
    Arthur Dignam was an Australian actor known for his distinctive character roles in film, television, and theatre.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd084ff48190ac0f8c46ee722629 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5eebe03ac8190bbe0b34ebf0d90c6 completed April 20, 2026, 9:15 a.m.
Created at: April 10, 2026, 12:06 p.m.