Triple

T8157050
Position Surface form Disambiguated ID Type / Status
Subject Reginald Denny E190475 entity
Predicate notableWork P4 FINISHED
Object Cat Ballou E700633 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: Cat Ballou | Statement: [Reginald Denny, notableWork, Cat Ballou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cat Ballou
Context triple: [Reginald Denny, notableWork, Cat Ballou]
  • A. Cat Ballou chosen
    Cat Ballou is a 1965 comedy Western film starring Jane Fonda and Lee Marvin, known for its humorous take on the genre and Marvin’s Oscar-winning dual role.
  • B. Hooch
    Hooch is the slobbery but lovable Dogue de Bordeaux who partners with Tom Hanks’s character in the 1989 buddy-cop comedy film "Turner & Hooch."
  • C. Cat Ballou (1965 film)
    Cat Ballou (1965 film) is a 1965 comedy Western starring Jane Fonda and Lee Marvin, known for its satirical take on the genre and Marvin’s Oscar-winning dual role.
  • D. The Sugarland Express
    The Sugarland Express is a 1974 American crime drama road film directed by Steven Spielberg and noted for its blend of suspense, dark humor, and social commentary.
  • E. Lilies of the Field
    Lilies of the Field is a 1963 American film drama, best known for Sidney Poitier’s Oscar-winning performance as a handyman who helps a group of nuns build a chapel in the Arizona desert.
  • 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_69ca82bfeb6481909d07b91b5cf69f59 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb44da14a481909f8d3277762b0e75 completed March 31, 2026, 3:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbf18c30c8190bdd98c4f0c2d28ea completed April 1, 2026, 6:45 a.m.
Created at: March 30, 2026, 5:37 p.m.