Triple

T106677
Position Surface form Disambiguated ID Type / Status
Subject Once Again E2152 entity
Predicate recordLabel P1500 FINISHED
Object Sony Urban Music E5586 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: Sony Urban Music | Statement: [Once Again, recordLabel, Sony Urban Music]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sony Urban Music
Context triple: [Once Again, recordLabel, Sony Urban Music]
  • A. Sony Urban Music chosen
    Sony Urban Music was a division of Sony Music Entertainment focused on promoting and distributing urban and hip-hop artists and releases.
  • B. Metro
    Metro is the rapid transit system serving the Washington, D.C. metropolitan area, operated by the Washington Metropolitan Area Transit Authority (WMATA).
  • 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. Audion
    Audion is an early triode vacuum tube invented by Lee de Forest that enabled the amplification of electrical signals and was crucial to the development of radio and electronics.
  • E. Opera Software
    Opera Software is a Norwegian software company best known for developing the Opera web browser and related internet technologies.
  • 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_69a24e0a5b7c81908d52da08c60dabc4 completed Feb. 28, 2026, 2:08 a.m.
NER Named-entity recognition batch_69a256cac6d4819083b50c9c9d95e975 completed Feb. 28, 2026, 2:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69a275e644a48190aa2b8cb142b14394 completed Feb. 28, 2026, 4:58 a.m.
Created at: Feb. 28, 2026, 2:12 a.m.