Triple

T22946679
Position Surface form Disambiguated ID Type / Status
Subject The Cowboy and the Lady E569891 entity
Predicate editedBy P1954 FINISHED
Object Sherman Todd 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: Sherman Todd | Statement: [The Cowboy and the Lady, editedBy, Sherman Todd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sherman Todd
Context triple: [The Cowboy and the Lady, editedBy, Sherman Todd]
  • A. Sherman Todd chosen
    Sherman Todd was a film editor known for his work on classic Hollywood movies, including the noir drama "They Live by Night."
  • B. Sherman Kell
    Sherman Kell is a film editor known for his work on the classic silent comedy "The Cameraman."
  • C. Sherman Adams
    Sherman Adams was an American politician and close aide to President Dwight D. Eisenhower, best known for his influential role in the Eisenhower administration and his resignation amid a gifts scandal.
  • D. Sherman Douglas
    Sherman Douglas is a former American point guard best known for his standout college career at Syracuse University and subsequent decade-long tenure in the NBA.
  • E. Sherman Bell
    Sherman Bell was a controversial Colorado National Guard officer known for his aggressive role in suppressing labor strikes during the early 20th-century Colorado Labor Wars.
  • 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_69e2459199d08190a8184ee2aa935842 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1819e559c81909e63acfc23f9476b completed April 29, 2026, 3:57 a.m.
Created at: April 17, 2026, 3:46 p.m.