Triple

T23399284
Position Surface form Disambiguated ID Type / Status
Subject Albert Anson Dorrance IV E559453 entity
Predicate notableStudent P4838 FINISHED
Object Heather O'Reilly 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: Heather O'Reilly | Statement: [Albert Anson Dorrance IV, notableStudent, Heather O'Reilly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heather O'Reilly
Context triple: [Albert Anson Dorrance IV, notableStudent, Heather O'Reilly]
  • A. Heather O'Reilly chosen
    Heather O'Reilly is a retired American soccer midfielder and three-time Olympic gold medalist known for her long, successful career with the U.S. women's national team and in professional club play.
  • B. Heather O’Rourke
    Heather O’Rourke was an American child actress best known for her role as Carol Anne Freeling in the "Poltergeist" film series.
  • C. Lisa O'Brien
    Lisa O'Brien is the mother of American actor Dylan O'Brien, known for his roles in "Teen Wolf" and "The Maze Runner" film series.
  • D. Tara O'Hanlon
    Tara O'Hanlon is a soccer player best known for her contributions to the New York Power in the early years of professional women's soccer in the United States.
  • E. Ahna O'Reilly
    Ahna O'Reilly is an American actress known for her supporting roles in films such as "The Help" and the biographical drama "Jobs."
  • 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_69e24549610c8190a069d6411ce5f661 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1a4ddcb9481909881c77458c59c83 completed April 29, 2026, 6:27 a.m.
Created at: April 17, 2026, 5:37 p.m.