Triple

T17802404
Position Surface form Disambiguated ID Type / Status
Subject Bill O'Herlihy E444463 entity
Predicate name P16 FINISHED
Object Bill O'Herlihy 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: Bill O'Herlihy | Statement: [Bill O'Herlihy, name, Bill O'Herlihy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bill O'Herlihy
Context triple: [Bill O'Herlihy, name, Bill O'Herlihy]
  • A. Bill O'Herlihy chosen
    Bill O'Herlihy was a prominent Irish sports broadcaster and television presenter best known for his long career covering major football tournaments for RTÉ.
  • B. John O’Keefe
    John O’Keefe is a British-American neuroscientist renowned for discovering place cells in the hippocampus, a breakthrough that helped reveal the brain’s internal GPS system.
  • C. John O’Keefe
    John O’Keefe is an American playwright, actor, and director known for his experimental and avant-garde theater works.
  • D. John McAuliffe
    John McAuliffe is a notable individual who shares the surname McAuliffe, which is associated with several prominent figures across fields such as the military, politics, and the arts.
  • E. Dean Boland
    Dean Boland is a fictional character, a suburban husband and father entangled in crime and financial troubles on the dark comedy TV series "Good Girls."
  • 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_69d8b9efe370819095cd219b143ae727 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e488005a288190b7a2cffa590d2557 completed April 19, 2026, 7:45 a.m.
Created at: April 10, 2026, 10:13 a.m.