Triple

T4726060
Position Surface form Disambiguated ID Type / Status
Subject BMG Classics E104886 entity
Predicate partOf P40 FINISHED
Object BMG Entertainment E19031 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: BMG Entertainment | Statement: [BMG Classics, partOf, BMG Entertainment]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BMG Entertainment
Context triple: [BMG Classics, partOf, BMG Entertainment]
  • A. BMG
    BMG is the commonly used abbreviation for Germany’s Federal Ministry of Health.
  • B. BMG
    BMG is a major global music company known for its music publishing and recorded music services, representing a wide range of international artists and catalogs.
  • C. Warner Music Group
    Warner Music Group is a major global music entertainment company and record label conglomerate representing a wide range of internationally successful artists.
  • D. Bertelsmann Music Group chosen
    Bertelsmann Music Group (BMG) was a major global music company and record label group owned by the German media conglomerate Bertelsmann, known for representing numerous prominent artists and extensive music publishing operations.
  • E. BMG Korea
    BMG Korea was the South Korean branch of the global music company Bertelsmann Music Group, responsible for producing and distributing music in the Korean market.
  • 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_69bd43ed84648190ae0b7ee8e8d00482 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6446b42081908e023979c9685730 completed March 20, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69be43a86b288190ada883c345b00c72 completed March 21, 2026, 7:07 a.m.
Created at: March 20, 2026, 1:18 p.m.