Triple

T12104569
Position Surface form Disambiguated ID Type / Status
Subject Imagination E288269 entity
Predicate hasPerformer P5936 FINISHED
Object Jo Stafford E336877 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: Jo Stafford | Statement: [Imagination, hasPerformer, Jo Stafford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jo Stafford
Context triple: [Imagination, hasPerformer, Jo Stafford]
  • A. Jo Stafford chosen
    Jo Stafford was an American traditional pop and jazz singer renowned for her smooth vocal style and numerous hit recordings from the 1940s through the 1950s.
  • B. Margaret Whiting
    Margaret Whiting was an American traditional pop and country music singer prominent in the 1940s and 1950s, known for her smooth vocal style and numerous hit recordings.
  • C. Myrtle Reeves
    Myrtle Reeves was the first wife of American comic actor Oliver Hardy, known primarily for her connection to the famed Laurel and Hardy star.
  • D. June Christy
    June Christy was an American jazz singer known for her cool, sophisticated vocal style and influential work with Stan Kenton’s orchestra and as a solo artist in the 1940s and 1950s.
  • E. Gloria DeHaven
    Gloria DeHaven was an American actress and singer best known for her roles in classic Hollywood musicals of the 1940s and 1950s.
  • 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_69d6ab4a5c448190a110d1273314b21a completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915568b9881909fc9edacefb86409 completed April 10, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64b83c15081908d2ed4c6d2e7534b completed May 2, 2026, 7:07 p.m.
Created at: April 8, 2026, 9:48 p.m.