Triple

T11332838
Position Surface form Disambiguated ID Type / Status
Subject Tattoo E268388 entity
Predicate hasMainArtistOccupation P50979 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: [Tattoo, hasMainArtistOccupation, singer]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMainArtistOccupation
Context triple: [Tattoo, hasMainArtistOccupation, singer]
  • A. hasMainPerformerOccupation chosen
    Indicates that an entity’s primary or main performer is associated with a specified occupation or professional role.
  • B. artistOccupation
    Indicates the professional role or job that an artist holds or performs.
  • C. hasArtistRole
    Indicates that an entity serves in the capacity or role of an artist in relation to another entity or context.
  • D. hasMusicalArtistType
    Indicates that an entity has a specific role or classification as a type of musical artist (e.g., solo artist, band, composer).
  • E. primaryArtist
    Indicates that an entity is the main or lead artist responsible for a creative work, as opposed to supporting or contributing artists.
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9fe5d5881908d786b212a554d8b completed April 9, 2026, 6:03 p.m.
PD Predicate disambiguation batch_69d787afe5a48190b8af1a3e19529641 completed April 9, 2026, 11:04 a.m.
Created at: April 8, 2026, 9:32 p.m.