Triple

T23339572
Position Surface form Disambiguated ID Type / Status
Subject The Comancheros E591697 entity
Predicate starring P1507 FINISHED
Object Stuart Whitman 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: Stuart Whitman | Statement: [The Comancheros, starring, Stuart Whitman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stuart Whitman
Context triple: [The Comancheros, starring, Stuart Whitman]
  • A. Stuart Whitman chosen
    Stuart Whitman was an American actor known for his rugged leading-man roles in film and television during the 1950s and 1960s, including an Academy Award–nominated performance in "The Mark."
  • B. Michael Jace
    Michael Jace is an American actor best known for his role as LAPD Officer Julien Lowe on the television series "The Shield."
  • C. David Wayne
    David Wayne was an American character actor known for his versatile performances in film, television, and theater from the 1940s through the 1980s.
  • D. Robert Parrish
    Robert Parrish was an American film editor and director, as well as a former child actor, known for his work on several classic Hollywood films.
  • E. Biagio Anthony Gazzarra
    Biagio Anthony Gazzarra, better known as Ben Gazzara, was an American actor renowned for his intense performances in film, television, and theater, particularly in the mid-20th century.
  • 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_69e25d20156c81908c5c53195bd9c738 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f198317f4c8190a557cacb86568d6c completed April 29, 2026, 5:33 a.m.
Created at: April 17, 2026, 5:17 p.m.