Triple

T20305792
Position Surface form Disambiguated ID Type / Status
Subject Jan Howard E505605 entity
Predicate stageName P7872 FINISHED
Object Jan Howard NE NERFINISHED

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: Jan Howard | Statement: [Jan Howard, stageName, Jan Howard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jan Howard
Context triple: [Jan Howard, stageName, Jan Howard]
  • A. Jan Howard chosen
    Jan Howard was an American country music singer and Grand Ole Opry star known for hits like "Evil on Your Mind" and her collaborations with Bill Anderson.
  • B. Marilyn Howard
    Marilyn Howard is the daughter of Curly Howard, the famed member of the comedy trio The Three Stooges.
  • C. Patti Woodward
    Patti Woodward is known as the former wife of American television news producer Don Hewitt, the creator of the CBS program "60 Minutes."
  • D. Shirley Owens
    Shirley Owens is an American singer best known as the lead vocalist of the girl group The Shirelles, pioneers of the early 1960s pop and R&B sound.
  • E. Glenda Parks
    Glenda Parks is the central protagonist of the romantic comedy film "Seems Like Old Times," around whom the story’s comedic and romantic entanglements revolve.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4b8ab648190906e18538c250148 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6773f8f688190b616f972b9bbb28e completed April 20, 2026, 6:58 p.m.
Created at: April 16, 2026, 11:18 a.m.