Triple

T14611309
Position Surface form Disambiguated ID Type / Status
Subject Talk (song) E342965 entity
Predicate hasArtistProfession P24742 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: [Talk (song), hasArtistProfession, singer]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasArtistProfession
Context triple: [Talk (song), hasArtistProfession, singer]
  • A. artistOccupation chosen
    Indicates the professional role or job that an artist holds or performs.
  • B. hasArtistRole
    Indicates that an entity serves in the capacity or role of an artist in relation to another entity or context.
  • C. hasArtist
    Indicates that an entity (such as a work or item) is associated with or created by a specific artist.
  • D. hasMainPerformerOccupation
    Indicates that an entity’s primary or main performer is associated with a specified occupation or professional role.
  • E. hasMusicalArtistType
    Indicates that an entity has a specific role or classification as a type of musical artist (e.g., solo artist, band, composer).
  • 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb450e6588190a94488d8e71888c8 completed April 14, 2026, 9:40 p.m.
PD Predicate disambiguation batch_69de656f9f4c81909f815b6629a9ee39 completed April 14, 2026, 4:03 p.m.
Created at: April 10, 2026, 1:25 a.m.