Triple

T7249115
Position Surface form Disambiguated ID Type / Status
Subject Gunsmoke E156550 entity
Predicate genre P14 FINISHED
Object Western E274418 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: Western | Statement: [Gunsmoke, genre, Western]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Western
Context triple: [Gunsmoke, genre, Western]
  • A. Western
    Western is a Canadian public research university located in London, Ontario, known for its strong programs in business, health sciences, and social sciences.
  • B. Western chosen
    Western is a film genre typically set in the American frontier, featuring cowboys, outlaws, lawmen, and themes of rugged individualism, justice, and survival in a harsh, lawless landscape.
  • C. Western
    Western is a Chicago 'L' rapid transit station on the CTA Pink Line serving the city's West Side.
  • D. West
    West is a prominent American legal publishing company best known for producing case law reporters, legal research tools, and the Westlaw online database.
  • E. West
    West is the surname of Kanye West, the influential American rapper, producer, and fashion designer.
  • 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_69c68827b5e481908dc05e145b2c92d4 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea77a3588190accf31860170f052 completed March 27, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7d3a2ba748190890c2980ca4a8ecd completed March 28, 2026, 1:12 p.m.
Created at: March 27, 2026, 2:56 p.m.