Triple

T20609564
Position Surface form Disambiguated ID Type / Status
Subject I'm Just a Lucky So-and-So E506407 entity
Predicate hasNotableRecordingBy P1152 FINISHED
Object Joe Williams 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: Joe Williams | Statement: [I'm Just a Lucky So-and-So, hasNotableRecordingBy, Joe Williams]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joe Williams
Context triple: [I'm Just a Lucky So-and-So, hasNotableRecordingBy, Joe Williams]
  • A. Joe Williams chosen
    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.
  • B. Joe Williams
    Joe Williams is a cinematographer best known for his work on the comedy film "Coming 2 America."
  • C. Joe Williams
    Joe Williams is a fictional character in John Dos Passos's novel "The 42nd Parallel," representing the experiences and struggles of ordinary Americans in the early 20th century.
  • D. Jack Teagarden
    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.
  • E. Norman Teagarden
    Norman Teagarden was an American jazz trombonist and member of the prominent Teagarden musical family active in the mid-20th century jazz scene.
  • 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_69e0b4bb2b4081908fa4a72444120f35 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6aad5e53c8190b0add34ce9b31d57 completed April 20, 2026, 10:38 p.m.
Created at: April 16, 2026, 11:41 a.m.