Triple

T1174754
Position Surface form Disambiguated ID Type / Status
Subject What If I Told You? (Interlude) E24995 entity
Predicate recordLabel P1500 FINISHED
Object GOOD Music E5585 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: GOOD Music | Statement: [What If I Told You? (Interlude), recordLabel, GOOD Music]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GOOD Music
Context triple: [What If I Told You? (Interlude), recordLabel, GOOD Music]
  • A. GOOD Music chosen
    GOOD Music is a record label founded by Kanye West that is known for its roster of influential hip-hop and R&B artists.
  • B. Good Vibes
    Good Vibes is an animated television series known for its raunchy teen comedy set in a Southern California surf town.
  • C. Gutes
    The Gutes were the North Germanic inhabitants of the Baltic island of Gotland, known for their distinct Gutnish language and extensive Viking Age trade networks.
  • D. MUS
    MUS is the standard abbreviation used to refer to Museum station, a public transit stop.
  • E. Crack Music
    "Crack Music" is a politically charged hip-hop track by Kanye West featuring The Game that critiques systemic racism and the crack epidemic in the United States.
  • 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_69a494082a7c819095004f423f294a64 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd0bed00819091d71983d787a030 completed March 1, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac7645abc8819086de42185bd403ed completed March 7, 2026, 7:02 p.m.
Created at: March 1, 2026, 7:45 p.m.