Triple

T7951566
Position Surface form Disambiguated ID Type / Status
Subject TV Land E184625 entity
Predicate notableSyndicatedSeries P46382 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: [TV Land, notableSyndicatedSeries, Gunsmoke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gunsmoke
Context triple: [TV Land, notableSyndicatedSeries, 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. Lawman
    Lawman is a 1971 American Western film directed by Michael Winner, known for its gritty portrayal of frontier justice and moral ambiguity.
  • E. The Gunfighter
    The Gunfighter is a 1950 American Western film starring Gregory Peck as an aging gunslinger trying to escape his violent past.
  • 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_69ca8292cba881908a64427b938dac47 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b5c95908190b6ee900d2b324574 completed March 31, 2026, 3:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe0530b8881908e35b10917e69899 completed March 31, 2026, 2:55 p.m.
Created at: March 30, 2026, 5:10 p.m.