Triple

T21199673
Position Surface form Disambiguated ID Type / Status
Subject Howard Bannister E522419 entity
Predicate portrayedBy P1507 FINISHED
Object Ryan O'Neal 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: Ryan O'Neal | Statement: [Howard Bannister, portrayedBy, Ryan O'Neal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ryan O'Neal
Context triple: [Howard Bannister, portrayedBy, Ryan O'Neal]
  • A. Ryan O'Neal chosen
    Ryan O'Neal is an American actor best known for his leading roles in films such as "Love Story," "Paper Moon," and "Barry Lyndon."
  • B. Dean Stockwell
    Dean Stockwell was an American actor known for his versatile career from child stardom to acclaimed adult roles in film and television, including his Emmy-nominated performance in "Quantum Leap."
  • C. Nolan Richardson
    Nolan Richardson is an American college basketball coach best known for leading the University of Arkansas to the 1994 NCAA championship with his up-tempo "40 Minutes of Hell" style.
  • D. Tom Berenger
    Tom Berenger is an American actor best known for his roles in films such as "Platoon," "The Big Chill," and "Inception," often portraying tough, complex characters.
  • E. David Hennings
    David Hennings is a film cinematographer known for his work on major studio comedies and other feature films, including "Horrible Bosses."
  • 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_69e0b51061388190aa03f19700d3ef04 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7342fe3a08190b7ed2cadf60091a8 completed April 21, 2026, 8:24 a.m.
Created at: April 16, 2026, 3:17 p.m.