Triple

T52955
Position Surface form Disambiguated ID Type / Status
Subject Ordinary People E1040 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: [Ordinary People, recordLabel, GOOD Music]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GOOD Music
Context triple: [Ordinary People, 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. 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.
  • C. USIC
    USIC is the commonly used acronym for the United States Intelligence Community, the federation of U.S. government agencies responsible for intelligence and national security activities.
  • D. GU
    GU is the two-letter ISO 3166 country code assigned to Guam, an unincorporated territory of the United States in the western Pacific Ocean.
  • E. Metro
    Metro is the rapid transit system serving the Washington, D.C. metropolitan area, operated by the Washington Metropolitan Area Transit Authority (WMATA).
  • 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_69a2480baefc81909951b14058479aa2 completed Feb. 28, 2026, 1:42 a.m.
NER Named-entity recognition batch_69a24b04ef708190876686da9db1f04d completed Feb. 28, 2026, 1:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69a266e716048190a57f681fccb4fdeb completed Feb. 28, 2026, 3:54 a.m.
Created at: Feb. 28, 2026, 1:47 a.m.