Triple

T20487713
Position Surface form Disambiguated ID Type / Status
Subject Do I Love You? E502644 entity
Predicate hasNotableRecordingBy P1152 FINISHED
Object Dinah Shore 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: Dinah Shore | Statement: [Do I Love You?, hasNotableRecordingBy, Dinah Shore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dinah Shore
Context triple: [Do I Love You?, hasNotableRecordingBy, Dinah Shore]
  • A. Dinah Shore chosen
    Dinah Shore was a popular American singer, actress, and television personality best known for her hit recordings and pioneering work in early television variety shows.
  • B. Martha Raye
    Martha Raye was an American comic actress and singer known for her brash, big-mouthed persona in film and television and for her extensive USO performances entertaining troops during multiple wars.
  • C. Ann Miller
    Ann Miller was an American actress, singer, and acclaimed tap dancer known for her energetic performances in classic Hollywood musicals of the 1940s and 1950s.
  • D. Gloria DeHaven
    Gloria DeHaven was an American actress and singer best known for her roles in classic Hollywood musicals of the 1940s and 1950s.
  • E. Phyllis Diller
    Phyllis Diller was a pioneering American stand-up comedian and actress known for her eccentric stage persona, self-deprecating humor, and distinctive cackling laugh.
  • 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_69e0b4b0373881909dd3e9387f82eab4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69b5c6f84819087d813be3542ed33 completed April 20, 2026, 9:32 p.m.
Created at: April 16, 2026, 11:34 a.m.