Triple

T9904880
Position Surface form Disambiguated ID Type / Status
Subject Marvin & Chardonnay E184978 entity
Predicate belongsToGenreScene P22737 FINISHED
Object mainstream US hip hop 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: mainstream US hip hop | Statement: [Marvin & Chardonnay, belongsToGenreScene, mainstream US hip hop]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: belongsToGenreScene
Context triple: [Marvin & Chardonnay, belongsToGenreScene, mainstream US hip hop]
  • A. associatedWithGenreScene chosen
    Indicates that an entity is connected or related to a particular genre scene, such as a specific stylistic or cultural subcommunity within a broader genre.
  • B. hasGenreScope
    Indicates that something (such as a work, collection, or classification) is limited to, defined by, or applicable within a particular genre or set of genres.
  • C. hasGenreInRoles
    Indicates that an entity participates in roles associated with a particular genre or set of genres.
  • D. hasStageGenre
    Indicates a relationship where a stage production or performance is associated with a particular theatrical or performance genre.
  • E. includedInGenreCollection
    Indicates that something is a member of, or contained within, a specific genre-based collection.
  • 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_69ca8296165881908ca4750701af1f29 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb4e641e881909dfba78fcb96c433 completed April 2, 2026, 12:14 a.m.
PD Predicate disambiguation batch_69cd1d8c584081908b73de75eb18e438 completed April 1, 2026, 1:28 p.m.
Created at: March 30, 2026, 8:40 p.m.