Triple

T13235349
Position Surface form Disambiguated ID Type / Status
Subject Charles Drake E315132 entity
Predicate notableWork P4 FINISHED
Object Winchester ’73 E147140 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: Winchester ’73 | Statement: [Charles Drake, notableWork, Winchester ’73]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Winchester ’73
Context triple: [Charles Drake, notableWork, Winchester ’73]
  • A. Winchester '73 chosen
    Winchester '73 is a classic 1950 American Western film starring James Stewart, renowned for its innovative focus on a prized rifle that links multiple characters and stories.
  • B. The Gunfighter
    The Gunfighter is a 1950 American Western film starring Gregory Peck as an aging gunslinger trying to escape his violent past.
  • C. Forty Guns
    Forty Guns is a 1957 Western film directed by Samuel Fuller, known for its striking black-and-white Cinemascope visuals and Barbara Stanwyck’s powerful role as a ruthless ranch matriarch.
  • D. The Shakiest Gun in the West
    The Shakiest Gun in the West is a 1968 comedy Western film starring Don Knotts as a bumbling frontier dentist who inadvertently becomes a reluctant hero.
  • E. Gunsmoke
    Gunsmoke is a classic American Western television series that follows U.S. Marshal Matt Dillon as he maintains law and order in the frontier town of Dodge City.
  • 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_69d806affc688190a25b6ccc588e9c72 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d36bdf8819099949b1e0e6902d3 completed April 10, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff3079c08190977663e5d4762a80 completed May 3, 2026, 7:54 a.m.
Created at: April 9, 2026, 9:22 p.m.