Triple

T4372473
Position Surface form Disambiguated ID Type / Status
Subject Toni Morrison bibliography E98928 entity
Predicate includesNotableWork P24127 FINISHED
Object Jazz E18048 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: Jazz | Statement: [Toni Morrison bibliography, includesNotableWork, Jazz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jazz
Context triple: [Toni Morrison bibliography, includesNotableWork, Jazz]
  • A. Jazz
    Jazz is a celebrated illustrated book by Henri Matisse featuring vibrant color paper cut-outs that exemplify his late-career artistic style.
  • B. Jazz chosen
    "Jazz" is a 1992 novel by Toni Morrison that explores love, violence, and memory in 1920s Harlem through a narrative style inspired by the improvisational rhythms of jazz music.
  • C. JAZZ
    JAZZ is the abbreviated name of Jazz Gaming, an esports organization associated with the NBA’s Utah Jazz.
  • D. Blues
    Blues is a genre of music characterized by expressive melodies, blue notes, and themes of hardship and emotion that originated in African American communities in the Deep South of the United States.
  • E. Blues
    Blues is the common nickname for Birmingham City Football Club, an English professional football team based in Birmingham.
  • 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_69b3454db3708190aeafd814413c4c3d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3521f7d9c81909c9209fe59d20ffd completed March 12, 2026, 11:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e50ec35481908cf1e1afffda19cb completed March 14, 2026, 10:45 p.m.
Created at: March 12, 2026, 11:17 p.m.