Triple

T20881869
Position Surface form Disambiguated ID Type / Status
Subject Two Mules for Sister Sara E514171 entity
Predicate storyBy P1955 FINISHED
Object Budd Boetticher 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: Budd Boetticher | Statement: [Two Mules for Sister Sara, storyBy, Budd Boetticher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Budd Boetticher
Context triple: [Two Mules for Sister Sara, storyBy, Budd Boetticher]
  • A. Budd Boetticher chosen
    Budd Boetticher was an American film director best known for his influential 1950s Westerns, particularly a series of minimalist, psychologically driven films starring Randolph Scott.
  • B. Anthony Mann
    Anthony Mann was an American film director best known for his psychologically complex film noirs and influential 1950s Westerns.
  • C. Don Siegel
    Don Siegel was an American film director best known for his taut, hard-edged action and crime dramas, including classics like "Dirty Harry" and "Invasion of the Body Snatchers."
  • D. Jo Dalton
    Jo Dalton is known for being married to the acclaimed English actor John Hurt.
  • E. Tony Bill
    Tony Bill is an American film producer, director, and actor best known for producing the Oscar-winning film "The Sting" and directing movies such as "My Bodyguard."
  • 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_69e0b4f733f081908a401c0b7beb0b9f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c67a33548190b0f5ba58b001d387 completed April 21, 2026, 12:36 a.m.
Created at: April 16, 2026, 12:46 p.m.