Triple

T2973131
Position Surface form Disambiguated ID Type / Status
Subject Dub Taylor E80327 entity
Predicate notableWork P4 FINISHED
Object Gunsmoke E156550 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: Gunsmoke | Statement: [Dub Taylor, notableWork, Gunsmoke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gunsmoke
Context triple: [Dub Taylor, notableWork, Gunsmoke]
  • A. Gunsmoke chosen
    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.
  • B. Bonanza
    Bonanza is a classic American Western television series that aired from 1959 to 1973, following the Cartwright family on their Nevada ranch, the Ponderosa.
  • C. Winchester '73
    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.
  • D. The Gunfighter
    The Gunfighter is a 1950 American Western film starring Gregory Peck as an aging gunslinger trying to escape his violent past.
  • E. Ride the High Country
    Ride the High Country is a 1962 American Western film directed by Sam Peckinpah, celebrated for its elegiac tone and exploration of aging lawmen facing a changing frontier.
  • 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_69ad8b14ffe881908ffed62f9595c867 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9987bb6c8190adfb447b76276962 completed March 8, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0fca910e481909c1d93b512a779aa completed March 11, 2026, 5:24 a.m.
Created at: March 8, 2026, 2:58 p.m.