Triple

T15310864
Position Surface form Disambiguated ID Type / Status
Subject The Way of the Gun E366031 entity
Predicate hasCastMember P2308 FINISHED
Object Geoffrey Lewis E380117 NE FINISHED

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: Geoffrey Lewis | Statement: [The Way of the Gun, hasCastMember, Geoffrey Lewis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Geoffrey Lewis
Context triple: [The Way of the Gun, hasCastMember, Geoffrey Lewis]
  • A. Geoffrey Lewis chosen
    Geoffrey Lewis was an American character actor known for his prolific film and television career, often appearing in Westerns and Clint Eastwood movies.
  • B. Geoffrey Carey
    Geoffrey Carey is an actor known for his role in the film "Esther Kahn."
  • C. Geoffrey Dawson
    Geoffrey Dawson was a British newspaper editor and influential public figure who notably served as editor of The Times during the early 20th century.
  • D. Geoffrey Carroll
    Geoffrey Carroll is the sinister artist and bigamist at the center of the 1947 film noir thriller "The Two Mrs. Carrolls."
  • E. Martin Lancaster
    Martin Lancaster is a video game writer best known for his work on major titles such as Batman: Arkham Knight.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03cd176708190b0f6ba17aed92f8e completed April 16, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff364bafd0819086b8aab1c216c6fa completed May 9, 2026, 1:27 p.m.
Created at: April 10, 2026, 3:16 a.m.