Triple

T7966721
Position Surface form Disambiguated ID Type / Status
Subject SPZ Group E185222 entity
Predicate hasPrimaryGenreFocus P51264 FINISHED
Object pop music 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 music | Statement: [SPZ Group, hasPrimaryGenreFocus, pop music]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPrimaryGenreFocus
Context triple: [SPZ Group, hasPrimaryGenreFocus, pop music]
  • A. hasMainGenre chosen
    Indicates that an entity’s primary or most characteristic genre is the specified genre.
  • B. hasNotableGenre
    Indicates that an entity is significantly associated with a particular genre, such that the genre is especially characteristic or noteworthy for that entity.
  • C. hasGenreInfluenceOn
    Indicates that one genre has a notable impact on shaping or influencing the characteristics, style, or development of another 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. hasGenreAsSetting
    Indicates that a work’s setting is characterized by, or takes place within, 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_69ca8297699481909b75a405f01e03af completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ba3f53c8190a0e9b3de2f1b9645 completed March 31, 2026, 3:12 a.m.
PD Predicate disambiguation batch_69cb0473d7dc8190a25d0cf460b9fcbe completed March 30, 2026, 11:17 p.m.
Created at: March 30, 2026, 5:13 p.m.