Triple

T11124915
Position Surface form Disambiguated ID Type / Status
Subject Cowgirl's Prayer E263109 entity
Predicate producer P490 FINISHED
Object Allen Reynolds E907348 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: Allen Reynolds | Statement: [Cowgirl's Prayer, producer, Allen Reynolds]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Allen Reynolds
Context triple: [Cowgirl's Prayer, producer, Allen Reynolds]
  • A. Allen Reynolds chosen
    Allen Reynolds is an American country music producer and songwriter best known for his influential work with artists like Garth Brooks and Crystal Gayle.
  • B. Paul Reynolds
    Paul Reynolds is a New Zealand politician and former chief executive of Telecom New Zealand, known for leading the company through major structural and technological changes.
  • C. Josh Reynolds
    Josh Reynolds is an American folk musician best known as a later member of the influential folk group The Kingston Trio.
  • D. Allen Jenkins
    Allen Jenkins was an American character actor known for his comic supporting roles in numerous Hollywood films of the 1930s and 1940s.
  • E. Bruce Reynolds
    Bruce Reynolds was a British criminal best known as the mastermind behind the 1963 Great Train Robbery.
  • 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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7e82e933481908550499cf9dd6531 completed April 9, 2026, 5:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69e462f5fe708190835e427b6bf99f13 completed April 19, 2026, 5:07 a.m.
Created at: April 8, 2026, 9:28 p.m.