Triple

T22921951
Position Surface form Disambiguated ID Type / Status
Subject Marina Vlady E568885 entity
Predicate notableWork P4 FINISHED
Object The Old Gun 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: The Old Gun | Statement: [Marina Vlady, notableWork, The Old Gun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Old Gun
Context triple: [Marina Vlady, notableWork, The Old Gun]
  • A. The Old Gun chosen
    The Old Gun is a 1975 French war drama film that follows a French surgeon seeking revenge against Nazi soldiers after they massacre his family during World War II.
  • B. The Gun
    "The Gun" is a 1974 American made-for-television crime drama film directed by John Badham and starring Lee Grant.
  • C. The Gun
    "The Gun" is a 1933 war novel by C. S. Forester that follows a massive Spanish cannon and the disparate fighters who use it against Napoleon’s forces during the Peninsular War.
  • D. The Gun Hawk
    The Gun Hawk is a 1963 American Western film centered on a vengeful gunslinger, directed by Sidney Salkow.
  • E. The Restless Gun
    The Restless Gun is a 1950s American Western television series starring John Payne as a wandering gunfighter who tries to resolve conflicts without violence.
  • 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_69e2458d90c88190a58cead4e781ca6a completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f180d5658c81908dbbb5882fcc1b8b completed April 29, 2026, 3:53 a.m.
Created at: April 17, 2026, 3:43 p.m.