Triple

T13394687
Position Surface form Disambiguated ID Type / Status
Subject They Say It’s Wonderful E319671 entity
Predicate hasNotableCoverVersionBy P11142 FINISHED
Object Jimmy Dorsey E490478 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: Jimmy Dorsey | Statement: [They Say It’s Wonderful, hasNotableCoverVersionBy, Jimmy Dorsey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jimmy Dorsey
Context triple: [They Say It’s Wonderful, hasNotableCoverVersionBy, Jimmy Dorsey]
  • A. Jimmy Dorsey chosen
    Jimmy Dorsey was an American jazz clarinetist, saxophonist, composer, and big band leader who became one of the most popular bandleaders of the Swing Era.
  • B. Tony Dorsey
    Tony Dorsey is a trombonist best known for his work as a touring and session musician, including performing with Paul McCartney and Wings in the 1970s.
  • C. Tommy Dorsey
    Tommy Dorsey was a prominent American jazz trombonist and big band leader, famed for his smooth tone and influential swing-era recordings.
  • D. Gus Kahn
    Gus Kahn was a prominent early 20th-century American lyricist known for writing enduring popular standards for Tin Pan Alley and Hollywood films.
  • E. Don Dorsey
    Don Dorsey is an American audio producer and entertainment designer best known for creating and directing groundbreaking nighttime spectaculars for Disney theme parks.
  • 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_69d806b943cc8190b6af624d385d7e12 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dba0d892d08190b1b192b93fe3d72d completed April 12, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7306fb8348190a325a07a1ac858fd completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:34 p.m.