Triple

T14003033
Position Surface form Disambiguated ID Type / Status
Subject Jo Stafford E336877 entity
Predicate fullName P16 FINISHED
Object Jo Elizabeth 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 Elizabeth Stafford | Statement: [Jo Stafford, fullName, Jo Elizabeth Stafford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jo Elizabeth Stafford
Context triple: [Jo Stafford, fullName, Jo Elizabeth 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. 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.
  • C. Betty Laine
    Betty Laine is a British performing arts educator and founder of the renowned Laine Theatre Arts stage school, known for training many successful musical theatre and dance professionals.
  • D. Daphne Boone
    Daphne Boone is a person notable enough to be specifically recognized as a bearer of the Boone surname.
  • E. Kay Starr
    Kay Starr was an American pop and jazz singer known for her powerful, blues-inflected voice and a string of hits from the 1940s through the 1960s.
  • 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_69d81c645c5c8190b1fd16a285a1b78a completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ed06a50819093ddc64f55050689 completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd466d5f1c81909accae028184b857 completed May 8, 2026, 2:11 a.m.
Created at: April 9, 2026, 10:19 p.m.