Triple

T22224021
Position Surface form Disambiguated ID Type / Status
Subject It Wasn’t All Velvet E549287 entity
Predicate author P4 FINISHED
Object Mel Tormé 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: Mel Tormé | Statement: [It Wasn’t All Velvet, author, Mel Tormé]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mel Tormé
Context triple: [It Wasn’t All Velvet, author, Mel Tormé]
  • A. Mel Tormé chosen
    Mel Tormé was an American jazz singer, composer, and actor, celebrated for his smooth vocal style and known as "The Velvet Fog."
  • B. Tony Bennett
    Tony Bennett was an American traditional pop and jazz singer renowned for his smooth vocal style and timeless standards like "I Left My Heart in San Francisco."
  • C. Billy Eckstine
    Billy Eckstine was an influential American jazz and pop singer and bandleader known for his rich baritone voice and pioneering role in the development of modern jazz.
  • D. Frankie Laine
    Frankie Laine was an American singer known for his powerful, emotionally charged voice and hit songs spanning pop, jazz, country, and western genres from the 1940s through the 1960s.
  • E. Perry Como
    Perry Como was an American singer and television personality renowned for his smooth baritone voice, relaxed crooning style, and decades-long presence as a popular music and TV star in the mid-20th century.
  • 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_69e11e403d6481909a94d0aaf157f6ef completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12b92b79c8190a8a4d33591abd763 completed April 28, 2026, 9:50 p.m.
Created at: April 16, 2026, 8:37 p.m.