Triple

T13931984
Position Surface form Disambiguated ID Type / Status
Subject If You Know You Know E335014 entity
Predicate associatedAct P37 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: [If You Know You Know, associatedAct, GOOD Music]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GOOD Music
Context triple: [If You Know You Know, associatedAct, 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 Music: The Album
    GOOD Music: The Album is a collaborative compilation project by artists from Kanye West’s G.O.O.D. Music label, showcasing the roster’s collective sound and style.
  • C. Big Music
    Big Music is a studio album by the Scottish rock band Simple Minds, showcasing their anthemic, synth-infused sound in a modern context.
  • D. Soundgasm
    Soundgasm is a popular Afrobeats song by Nigerian artist Rema, known for its sensual lyrics and smooth, melodic production.
  • E. Good Vibes
    Good Vibes is an animated television series known for its raunchy teen comedy set in a Southern California surf town.
  • 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_69d81c5f739081908bc05b2461f54828 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2cf13b2881908a48058a719d3745 completed April 14, 2026, 12:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce8452648190b7392d75eb1ca874 completed May 3, 2026, 10:39 p.m.
Created at: April 9, 2026, 10:16 p.m.