Triple

T5974742
Position Surface form Disambiguated ID Type / Status
Subject After You've Gone E132956 entity
Predicate hasPerformer P5936 FINISHED
Object Jack Teagarden E496925 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: Jack Teagarden | Statement: [After You've Gone, hasPerformer, Jack Teagarden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jack Teagarden
Context triple: [After You've Gone, hasPerformer, Jack Teagarden]
  • A. Jack Teagarden chosen
    Jack Teagarden was an influential American jazz trombonist and singer renowned for his smooth tone, innovative technique, and collaborations with major jazz bandleaders of the swing era.
  • B. Joe Williams
    Joe Williams was a renowned American jazz and blues singer best known for his powerful baritone voice and celebrated recordings with the Count Basie Orchestra.
  • C. Tom Walls
    Tom Walls is a film editor known for his work on the movie "Remember My Name."
  • D. Jimmy Dorsey
    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.
  • E. Charles McGraw
    Charles McGraw was an American character actor known for his tough-guy roles in film noir and classic Hollywood films, including notable appearances in movies like "The Killers" and "Spartacus."
  • 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_69c0086deab081908550159ca23eec9b completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04a39c9d08190a78e1e3268584eb5 completed March 22, 2026, 7:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c108422220819092ac63e5ebb264b4 completed March 23, 2026, 9:30 a.m.
Created at: March 22, 2026, 4:03 p.m.