Triple

T9255579
Position Surface form Disambiguated ID Type / Status
Subject George Shearing E222432 entity
Predicate genre P14 FINISHED
Object cool jazz E502267 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: cool jazz | Statement: [George Shearing, genre, cool jazz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: cool jazz
Context triple: [George Shearing, genre, cool jazz]
  • A. cool jazz chosen
    Cool jazz is a relaxed, smooth, and understated style of modern jazz that emerged in the late 1940s, characterized by softer dynamics, lyrical improvisation, and sophisticated harmonies.
  • B. JAZZ
    JAZZ is the abbreviated name of Jazz Gaming, an esports organization associated with the NBA’s Utah Jazz.
  • C. Jazz
    Jazz is a recurring comic character on the sitcom "The Fresh Prince of Bel-Air," known as Will Smith’s best friend who is frequently thrown out of the Banks’ house.
  • D. Jazz
    Jazz is a celebrated illustrated book by Henri Matisse featuring vibrant color paper cut-outs that exemplify his late-career artistic style.
  • E. Jazz
    Jazz is a genre of music characterized by swing, improvisation, complex harmonies, and roots in African American musical traditions.
  • 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_69ca841e4cd481908e738c74e958eaea completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd06b3c314819096632b8263288aae completed April 1, 2026, 11:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09bde36688190bf66669f585dcee7 completed April 4, 2026, 5:04 a.m.
Created at: March 30, 2026, 7:31 p.m.