Triple

T7962536
Position Surface form Disambiguated ID Type / Status
Subject Don't Quit Your Day Job! E184903 entity
Predicate hasPart P35 FINISHED
Object Job Song E184910 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: Job Song | Statement: [Don't Quit Your Day Job!, hasPart, Job Song]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Job Song
Context triple: [Don't Quit Your Day Job!, hasPart, Job Song]
  • A. Job Song chosen
    Job Song is a work associated with the artist Consequence, likely recognized as one of his notable musical releases.
  • B. Work Song
    "Work Song" is a jazz composition featured within Duke Ellington’s extended suite "Black, Brown and Beige," reflecting African American history and experience.
  • C. Work Song
    "Work Song" is a hard bop jazz standard composed by cornetist Nat Adderley, famously recorded by the Cannonball Adderley Quintet and widely regarded as one of the genre’s most enduring tunes.
  • D. The Job
    The Job is a film featuring actor John Ortiz in a significant role.
  • E. The Job
    The Job is a television series produced by DreamWorks Television, best known as a darkly comedic workplace drama centered on the personal and professional struggles of its main characters.
  • 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_69ca8293a2388190aace944d7ed9c0c0 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b9df72081908d33925da10192e9 completed March 31, 2026, 3:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe08c36f48190b005c6c92ad813d0 completed March 31, 2026, 2:56 p.m.
Created at: March 30, 2026, 5:12 p.m.