Triple

T23170457
Position Surface form Disambiguated ID Type / Status
Subject I'm a Fool to Want You E578842 entity
Predicate notablePerformer P17435 FINISHED
Object Helen Merrill 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: Helen Merrill | Statement: [I'm a Fool to Want You, notablePerformer, Helen Merrill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Helen Merrill
Context triple: [I'm a Fool to Want You, notablePerformer, Helen Merrill]
  • A. Helen Merrill chosen
    Helen Merrill is an American jazz vocalist renowned for her cool, introspective style and influential recordings with leading jazz musicians of the 1950s.
  • B. Gloria DeHaven
    Gloria DeHaven was an American actress and singer best known for her roles in classic Hollywood musicals of the 1940s and 1950s.
  • C. Gladys Lehman
    Gladys Lehman was an American screenwriter active during Hollywood’s classic era, known for her work on several notable studio films.
  • D. 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.
  • E. Mabel Mercer
    Mabel Mercer was a renowned British-born cabaret singer celebrated for her subtle, conversational style and influential interpretations of the Great American Songbook.
  • 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_69e245fd2a388190b814c0dfa15f7148 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18f2f10208190b3a0f9a4c790cb0a completed April 29, 2026, 4:55 a.m.
Created at: April 17, 2026, 4:03 p.m.