Triple

T10512422
Position Surface form Disambiguated ID Type / Status
Subject Flying High E247947 entity
Predicate starring P1507 FINISHED
Object Pat O’Brien E298740 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: Pat O’Brien | Statement: [Flying High, starring, Pat O’Brien]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pat O’Brien
Context triple: [Flying High, starring, Pat O’Brien]
  • A. Pat O’Brien chosen
    Pat O’Brien was an American film and stage actor best known for his prolific work in Hollywood from the 1930s to the 1950s, often portraying fast-talking priests, cops, and authority figures.
  • B. Don Ameche
    Don Ameche was an American actor and radio star best known for his charismatic performances in classic Hollywood films and later for his Academy Award–winning role in the 1980s.
  • C. M. Emmet Walsh
    M. Emmet Walsh is an American character actor known for his prolific film and television career, including memorable roles in movies like "Blade Runner," "Blood Simple," and "Raising Arizona."
  • D. Edward O'Hare
    Edward O'Hare was a famed U.S. Navy fighter pilot and World War II flying ace who became the first naval aviator to receive the Medal of Honor.
  • E. Stuart Erwin
    Stuart Erwin was an American actor known for his work in early 20th-century film, radio, and television, often portraying affable, comedic everyman characters.
  • 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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509b5fcb8819087a23a2b26aecd70 completed April 7, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90de6e9508190a1cdf348ec542dd5 completed April 10, 2026, 2:49 p.m.
Created at: April 6, 2026, 12:27 p.m.