Triple

T10956669
Position Surface form Disambiguated ID Type / Status
Subject Covers E258862 entity
Predicate recordLabel P1500 FINISHED
Object Hear Music E733349 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: Hear Music | Statement: [Covers, recordLabel, Hear Music]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hear Music
Context triple: [Covers, recordLabel, Hear Music]
  • A. Hear Music chosen
    Hear Music is a record label and retail music brand created by Starbucks to release and promote curated and artist-driven music projects.
  • B. Mosley Music Group
    Mosley Music Group is an American record label founded by producer Timbaland, known for releasing influential hip-hop and R&B music.
  • C. Enigma Records
    Enigma Records was an American independent record label active primarily in the 1980s, known for releasing influential alternative rock, punk, and underground music.
  • D. Capitol Music Group
    Capitol Music Group is a major American record label and music company that oversees a diverse roster of artists and iconic labels under the Universal Music Group umbrella.
  • E. Elektra Music Group
    Elektra Music Group is a major American record label and music company known for signing and promoting a diverse roster of contemporary artists across multiple genres.
  • 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_69d6aa88500c819097d7032ca578e74f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d771260e9881909401a7a7466e1b8a completed April 9, 2026, 9:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23c72196c8190b2336a130b64ab8e completed April 17, 2026, 1:58 p.m.
Created at: April 8, 2026, 9:23 p.m.