Triple

T14739680
Position Surface form Disambiguated ID Type / Status
Subject Love of My Life E346310 entity
Predicate musicArtistOccupation P115040 FINISHED
Object singer 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: singer | Statement: [Love of My Life, musicArtistOccupation, singer]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: musicArtistOccupation
Context triple: [Love of My Life, musicArtistOccupation, singer]
  • A. artistOccupation
    Indicates the professional role or job that an artist holds or performs.
  • B. hasMusicalArtistOccupation chosen
    Indicates that an entity has an occupation or professional role as a musical artist.
  • C. hasMainPerformerOccupation
    Indicates that an entity’s primary or main performer is associated with a specified occupation or professional role.
  • D. musicIndustryRole
    Indicates the professional function or position an entity holds within the music industry ecosystem.
  • E. producerArtist
    Indicates that one entity serves as the producer (e.g., overseeing or managing the creation) of a work created or performed by the artist entity.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7345680819093e901233a064e48 completed April 14, 2026, 11:01 p.m.
PD Predicate disambiguation batch_69de8bf9331481909582045cd567d91f completed April 14, 2026, 6:48 p.m.
Created at: April 10, 2026, 1:29 a.m.