Triple

T5016570
Position Surface form Disambiguated ID Type / Status
Subject Apple Music E112751 entity
Predicate brandingElement P14764 FINISHED
Object  Music wordmark E112751 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:  Music wordmark | Statement: [Apple Music, brandingElement,  Music wordmark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity:  Music wordmark
Context triple: [Apple Music, brandingElement,  Music wordmark]
  • A.  Music chosen
     Music is the stylized logo-based shorthand for Apple Music, Apple’s subscription music and audio streaming service.
  • B. Sarkcess Music
    Sarkcess Music is an independent Ghanaian record label founded by acclaimed rapper Sarkodie to manage and promote his music and other artists.
  • C. WaterTower Music
    WaterTower Music is an American record label known for releasing soundtracks and scores for major film and television productions.
  • D. 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.
  • E. KPM Music Library
    KPM Music Library is a renowned British production music company known for its extensive catalog of library music widely used in film, television, and broadcasting.
  • 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_69bd4434acb8819086679dbeccc2fe54 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd732f4c5c8190b90f8e4daab458ee completed March 20, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9278421c8190b142466c099c7d1c completed March 21, 2026, 12:43 p.m.
Created at: March 20, 2026, 1:35 p.m.