Triple

T9795141
Position Surface form Disambiguated ID Type / Status
Subject A Stop at Willoughby E237698 entity
Predicate castMember P1668 FINISHED
Object J. Pat O'Malley E348782 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: J. Pat O'Malley | Statement: [A Stop at Willoughby, castMember, J. Pat O'Malley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: J. Pat O'Malley
Context triple: [A Stop at Willoughby, castMember, J. Pat O'Malley]
  • A. J. Pat O'Malley chosen
    J. Pat O'Malley was a British-born character actor and voice artist known for his prolific work in mid-20th-century American film, television, and animation.
  • B. Steve Finneran
    Steve Finneran is a musician best known as a member of the Celtic rock band O'Malley's March.
  • C. Bill O'Herlihy
    Bill O'Herlihy was a prominent Irish sports broadcaster and television presenter best known for his long career covering major football tournaments for RTÉ.
  • D. Tony McAnaney
    Tony McAnaney is a British musician and composer best known for his work on television, particularly his music for the comedy-drama series "Auf Wiedersehen, Pet."
  • E. John McCloskey
    John McCloskey was a 19th-century American Catholic prelate who became the first U.S. cardinal and a prominent Archbishop of New York.
  • 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_69ca84dc04488190b9c91193976c0960 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda34916dc8190acef2ba003e56a33 completed April 1, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69d2699ec50481908d83d3d22e102fb2 completed April 5, 2026, 1:54 p.m.
Created at: March 30, 2026, 8:28 p.m.