Triple

T630190
Position Surface form Disambiguated ID Type / Status
Subject I Can Change E15908 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: [I Can Change, recordLabel, GOOD Music]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GOOD Music
Context triple: [I Can Change, 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. 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.
  • C. 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.
  • D. Sony Urban Music
    Sony Urban Music was a division of Sony Music Entertainment focused on promoting and distributing urban and hip-hop artists and releases.
  • E. Ici Musique
    Ici Musique is a Canadian French-language public radio network operated by CBC/Radio-Canada that focuses on music and cultural programming.
  • 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_69a4935c131c8190a5378c6bf101e8cc completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49ec051bc8190b3e3f8651a367d77 completed March 1, 2026, 8:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a56939d6ec81909770c4484605763b completed March 2, 2026, 10:40 a.m.
Created at: March 1, 2026, 7:35 p.m.