Triple

T14367137
Position Surface form Disambiguated ID Type / Status
Subject Ryan O'Neal E356263 entity
Predicate parent P120 FINISHED
Object Patricia O'Callaghan E489835 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: Patricia O'Callaghan | Statement: [Ryan O'Neal, parent, Patricia O'Callaghan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patricia O'Callaghan
Context triple: [Ryan O'Neal, parent, Patricia O'Callaghan]
  • A. Patricia O’Callaghan chosen
    Patricia O’Callaghan is a Canadian soprano and cabaret-style singer known for her interpretations of Leonard Cohen’s songs and eclectic repertoire spanning classical, pop, and chanson.
  • B. Patricia Laffan
    Patricia Laffan was a British actress best known for her roles in mid-20th-century films, including notable performances in historical epics and science fiction cinema.
  • C. Patricia Lynch
    Patricia Lynch was an Irish author best known for her children's books that often blended fantasy with Irish rural life and folklore.
  • D. Patricia Conolly
    Patricia Conolly is an Australian-born stage actress known for her extensive work on Broadway and in major theatre productions internationally.
  • E. Patricia Tiernan
    Patricia Tiernan is an actress known for her role in the musical film "She’s Working Her Way Through College."
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8faf00e8819087d7100e9d8c1877 completed April 14, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbb445a48190ba3dafb1f076ac83 completed May 10, 2026, 1:13 a.m.
Created at: April 10, 2026, 1:15 a.m.