Triple

T20079244
Position Surface form Disambiguated ID Type / Status
Subject Les Hurley E499953 entity
Predicate nameString P744 FINISHED
Object Les Hurley 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: Les Hurley | Statement: [Les Hurley, nameString, Les Hurley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Les Hurley
Context triple: [Les Hurley, nameString, Les Hurley]
  • A. Les Hurley chosen
    Les Hurley is an individual notable enough to be recognized as a prominent bearer of the surname Hurley, though specific widely known biographical details about him are not clearly documented.
  • B. Pat O’Hara
    Pat O’Hara is a former American football quarterback who became a prominent coach in the Arena Football League, including a successful tenure with the Orlando Predators.
  • C. Rowan Kennedy
    Rowan Kennedy is a member of the Kennedy family and a child of American journalist and political heir Douglas Harriman Kennedy.
  • D. Lois Kerry
    Lois Kerry is a pseudonym used by American author Lois Duncan, known for her suspense and young adult novels.
  • E. Morgan O’Brien
    Morgan O’Brien is an American telecommunications executive best known as the co-founder and former CEO of Nextel Communications, a pioneering mobile and push-to-talk wireless carrier.
  • 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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6643f93208190ae2a413f88ea9aed completed April 20, 2026, 5:37 p.m.
Created at: April 11, 2026, 3:40 p.m.