Triple

T3205228
Position Surface form Disambiguated ID Type / Status
Subject Miss Jackson E67145 entity
Predicate appliesToGenre P33225 FINISHED
Object pop 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: pop | Statement: [Miss Jackson, appliesToGenre, pop]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: appliesToGenre
Context triple: [Miss Jackson, appliesToGenre, pop]
  • A. supportedGenre
    Indicates that an entity (such as a system, service, or tool) is capable of handling, providing, or working with a specified genre.
  • B. depictsGenre
    Indicates that one entity visually represents or portrays the genre category associated with another entity.
  • C. coveredInGenre chosen
    Indicates that a work or item is associated with, categorized under, or treated within a particular genre.
  • D. 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.
  • E. influencedByGenre
    Indicates that something’s characteristics, style, or development are shaped or affected by a particular genre.
  • 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_69ad8589bd988190afa7ed2bdffb7b33 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaa559848819082d1e61f586278dd completed March 8, 2026, 4:56 p.m.
PD Predicate disambiguation batch_69ad9e078f7c8190813d9fcb4f5071fb completed March 8, 2026, 4:04 p.m.
Created at: March 8, 2026, 3:07 p.m.