Triple

T20984241
Position Surface form Disambiguated ID Type / Status
Subject Invitation to a Gunfighter E516850 entity
Predicate screenwriter P2831 FINISHED
Object Alvin Sargent 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: Alvin Sargent | Statement: [Invitation to a Gunfighter, screenwriter, Alvin Sargent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alvin Sargent
Context triple: [Invitation to a Gunfighter, screenwriter, Alvin Sargent]
  • A. Alvin Sargent chosen
    Alvin Sargent was an American screenwriter best known for his Oscar-winning work on films like "Julia" and "Ordinary People" and for co-writing several "Spider-Man" movies.
  • B. Earl Cairns
    Earl Cairns is a hereditary title in the Peerage of the United Kingdom associated with the prominent 19th-century Conservative politician and Lord Chancellor Hugh Cairns.
  • C. Frank Sargent
    Frank Sargent was a prominent Canadian ice hockey administrator best known for his influential leadership within the country’s amateur hockey system.
  • D. Larry Shuman
    Larry Shuman is a television producer best known for serving as an executive producer on the comedy-drama series "Devious Maids."
  • E. Gordon Daugherty
    Gordon Daugherty is a technology entrepreneur, investor, and startup advisor known for his work supporting early-stage companies and the Texas startup ecosystem.
  • 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_69e0b4ffac148190bbade9f0eceb660b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fbe1474c8190912b90da0973f99f completed April 21, 2026, 4:24 a.m.
Created at: April 16, 2026, 1:48 p.m.