Triple

T15682002
Position Surface form Disambiguated ID Type / Status
Subject Michael O’Keefe E377599 entity
Predicate hasRole P161 FINISHED
Object Danny Noonan 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: Danny Noonan | Statement: [Michael O’Keefe, hasRole, Danny Noonan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danny Noonan
Context triple: [Michael O’Keefe, hasRole, Danny Noonan]
  • A. Danny Noonan chosen
    Danny Noonan is the young, ambitious golf caddie who serves as the central protagonist in the comedy film "Caddyshack."
  • B. Tom Noonan
    Tom Noonan is an American character actor, writer, and director known for his distinctive, often menacing roles in films such as "Manhunter," "Last Action Hero," and "Synecdoche, New York."
  • C. Dan Kavanagh
    Dan Kavanagh is the crime-fiction pseudonym used by British novelist Julian Barnes for a series of detective novels.
  • D. Keith Donnellan
    Keith Donnellan was an American philosopher best known for his influential work in the philosophy of language, especially on reference, definite descriptions, and the distinction between referential and attributive uses.
  • E. Greg O’Connor
    Greg O’Connor is a film producer known for his work on crime and drama features, including the 2008 police drama "Pride and Glory."
  • 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_69d85cd2e28481909d4e975bee20872f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f306a1c8190a819541a3cc51f5a completed April 16, 2026, 2:53 a.m.
Created at: April 10, 2026, 4:16 a.m.