Triple

T13022631
Position Surface form Disambiguated ID Type / Status
Subject Walter Newman E326213 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: [Walter Newman, notableWork, Cat Ballou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cat Ballou
Context triple: [Walter Newman, 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_69d8076cc45c81908123123f43e69266 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97ed05e9c8190a4f208662bca0602 completed April 10, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbcb86148190ad1b19c6e8764397 completed May 3, 2026, 4:15 a.m.
Created at: April 9, 2026, 8:52 p.m.