Triple

T12782734
Position Surface form Disambiguated ID Type / Status
Subject The Velvet Bulldozer E305546 entity
Predicate associatedWithMusicRole P24740 FINISHED
Object bandleader LITERAL 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: bandleader | Statement: [The Velvet Bulldozer, associatedWithMusicRole, bandleader]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithMusicRole
Context triple: [The Velvet Bulldozer, associatedWithMusicRole, bandleader]
  • A. associatedWithMusicScene
    Indicates a relationship where an entity is connected or linked to a particular music scene, culture, or community.
  • B. associatedWithPerformer
    Indicates a relationship in which something (such as a work, event, or role) is connected or linked to a specific performer.
  • C. hasArtistRole
    Indicates that an entity serves in the capacity or role of an artist in relation to another entity or context.
  • D. musicalRole chosen
    Indicates the specific function or part an entity performs within a musical context, such as in a performance, composition, or ensemble.
  • E. musicalArtistAssociated
    Indicates a relationship where one musical artist is professionally connected or affiliated with another, such as through collaboration, membership, or frequent association.
  • F. None of above.

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_69d7bdf2b43c819098ae5aa68e61ea58 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e5b52048190b279b7ad066efe9f completed April 10, 2026, 9:40 p.m.
PD Predicate disambiguation batch_69d9640ba0688190973e4e7ec8d4a8e0 completed April 10, 2026, 8:56 p.m.
Created at: April 9, 2026, 5:29 p.m.