Triple

T11307024
Position Surface form Disambiguated ID Type / Status
Subject Mickey Madden E267742 entity
Predicate genreWithMaroon5 P41449 FINISHED
Object pop rock 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 rock | Statement: [Mickey Madden, genreWithMaroon5, pop rock]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: genreWithMaroon5
Context triple: [Mickey Madden, genreWithMaroon5, pop rock]
  • A. genreAssociatedWith
    Indicates a relationship where a work, item, or entity is linked to or categorized under a particular genre.
  • B. genreIncludes
    Indicates that a broader genre category encompasses or contains a specified subgenre or work as part of its classification.
  • C. genreAsModel
    Indicates that one entity serves as a genre-based template or stylistic model for another entity.
  • D. musicGenreCategory
    Indicates that one entity is a broader music genre category under which the other music genre is classified.
  • E. genreOfAssociatedPerson chosen
    Indicates that a particular genre is associated with a given person, such as an artist, author, or performer.
  • 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9bf87d88190904c2d174578ebbf completed April 9, 2026, 6:02 p.m.
PD Predicate disambiguation batch_69d787aa31888190860eecaa80da5b20 completed April 9, 2026, 11:04 a.m.
Created at: April 8, 2026, 9:32 p.m.