Triple

T16317833
Position Surface form Disambiguated ID Type / Status
Subject Love and Marriage E396216 entity
Predicate recordedBy P1165 FINISHED
Object Dinah Shore E315146 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: Dinah Shore | Statement: [Love and Marriage, recordedBy, Dinah Shore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dinah Shore
Context triple: [Love and Marriage, recordedBy, 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 (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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e296b31b988190bb1fde36dae11bbd completed April 17, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a002606f0e0819081f50dae9e6b7a0d completed May 10, 2026, 6:30 a.m.
Created at: April 10, 2026, 5:06 a.m.