Triple

T11465365
Position Surface form Disambiguated ID Type / Status
Subject The Missouri Breaks E271766 entity
Predicate cinematographer P1953 FINISHED
Object Michael Butler
Michael Butler was a film cinematographer best known for his work on the 1976 Western drama "The Missouri Breaks."
 E956467 NE FINISHED

How this triple was built (4 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: Michael Butler | Statement: [The Missouri Breaks, cinematographer, Michael Butler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Michael Butler
Context triple: [The Missouri Breaks, cinematographer, Michael Butler]
  • A. Michael Butler
    Michael Butler was an American theatrical producer best known for bringing the countercultural musical "Hair" to Broadway and later producing its 1979 film adaptation.
  • B. Peter Butler
    Peter Butler is an English football manager and former player known for coaching various national and club teams, including the Liberia national football team.
  • C. Hugh Butler
    Hugh Butler was a screenwriter known for his work on the mid-20th-century British film "Journey into Light."
  • D. Reg Butler
    Reg Butler was a British sculptor known for his expressive, often skeletal metal figures and his prominence in postwar European modernist sculpture.
  • E. John K. Butler
    John K. Butler was an American screenwriter best known for his work on mid-20th-century Westerns and crime films.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Michael Butler
Triple: [The Missouri Breaks, cinematographer, Michael Butler]
Generated description
Michael Butler was a film cinematographer best known for his work on the 1976 Western drama "The Missouri Breaks."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Michael Butler
Target entity description: Michael Butler was a film cinematographer best known for his work on the 1976 Western drama "The Missouri Breaks."
  • A. Michael Butler
    Michael Butler was an American theatrical producer best known for bringing the countercultural musical "Hair" to Broadway and later producing its 1979 film adaptation.
  • B. Peter Butler
    Peter Butler is an English football manager and former player known for coaching various national and club teams, including the Liberia national football team.
  • C. Hugh Butler
    Hugh Butler was a screenwriter known for his work on the mid-20th-century British film "Journey into Light."
  • D. Reg Butler
    Reg Butler was a British sculptor known for his expressive, often skeletal metal figures and his prominence in postwar European modernist sculpture.
  • E. John K. Butler
    John K. Butler was an American screenwriter best known for his work on mid-20th-century Westerns and crime films.
  • F. None of above. chosen

Provenance (5 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d822f5eb988190b309b8e309f6d1a5 completed April 9, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69f457b970b88190869cb0b80aca5c4a completed May 1, 2026, 7:35 a.m.
NEDg Description generation batch_69f45f86349c81909a806fd7be4008e9 completed May 1, 2026, 8:08 a.m.
NED2 Entity disambiguation (via description) batch_69f4647ee1748190975bce3bbf51a3bc completed May 1, 2026, 8:29 a.m.
Created at: April 8, 2026, 9:35 p.m.