Triple

T5714110
Position Surface form Disambiguated ID Type / Status
Subject McCabe & Mrs. Miller E125980 entity
Predicate basedOn P98 FINISHED
Object McCabe
McCabe is the central character of Edmund Naughton’s novel “McCabe,” a small-time gambler and entrepreneur in the American West whose story inspired the film “McCabe & Mrs. Miller.”
 E539807 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: McCabe | Statement: [McCabe & Mrs. Miller, basedOn, McCabe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: McCabe
Context triple: [McCabe & Mrs. Miller, basedOn, McCabe]
  • A. Callahan
    Callahan is a surname most notably associated with American singer-songwriter Bill Callahan, known for his introspective and minimalist folk music.
  • B. McGuire
    McGuire is a surname most notably associated with American actress Dorothy McGuire, known for her work in classic Hollywood films.
  • C. Callaghan
    Callaghan is a surname of Irish origin borne by numerous notable individuals in politics, sports, and the arts.
  • D. McClure
    McClure is a Scottish-origin surname borne by various notable individuals across fields such as exploration, politics, and the arts.
  • E. Robert McCall
    Robert McCall is a former intelligence operative who uses his skills to vigilantly protect the vulnerable and deliver justice in "The Equalizer" franchise.
  • 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: McCabe
Triple: [McCabe & Mrs. Miller, basedOn, McCabe]
Generated description
McCabe is the central character of Edmund Naughton’s novel “McCabe,” a small-time gambler and entrepreneur in the American West whose story inspired the film “McCabe & Mrs. Miller.”
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: McCabe
Target entity description: McCabe is the central character of Edmund Naughton’s novel “McCabe,” a small-time gambler and entrepreneur in the American West whose story inspired the film “McCabe & Mrs. Miller.”
  • A. Callahan
    Callahan is a surname most notably associated with American singer-songwriter Bill Callahan, known for his introspective and minimalist folk music.
  • B. McGuire
    McGuire is a surname most notably associated with American actress Dorothy McGuire, known for her work in classic Hollywood films.
  • C. Callaghan
    Callaghan is a surname of Irish origin borne by numerous notable individuals in politics, sports, and the arts.
  • D. McClure
    McClure is a Scottish-origin surname borne by various notable individuals across fields such as exploration, politics, and the arts.
  • E. Robert McCall
    Robert McCall is a former intelligence operative who uses his skills to vigilantly protect the vulnerable and deliver justice in "The Equalizer" franchise.
  • 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_69c0082e3d548190950169847b43043b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c024b6c7c8819095a92f2ccede1197 completed March 22, 2026, 5:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a77d6b081908db6e64c5a361282 completed March 22, 2026, 9:09 p.m.
NEDg Description generation batch_69c05c75179c819085bf56340363b48c completed March 22, 2026, 9:17 p.m.
NED2 Entity disambiguation (via description) batch_69c05d2b67888190bc89e4cbd384c15f completed March 22, 2026, 9:20 p.m.
Created at: March 22, 2026, 3:46 p.m.