Triple

T15635812
Position Surface form Disambiguated ID Type / Status
Subject Portrait of W.A. Mozart as a Child E375941 entity
Predicate visualArtGenre P79352 FINISHED
Object portrait painting 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: portrait painting | Statement: [Portrait of W.A. Mozart as a Child, visualArtGenre, portrait painting]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: visualArtGenre
Context triple: [Portrait of W.A. Mozart as a Child, visualArtGenre, portrait painting]
  • A. artworkType
    Indicates the specific category or kind of artwork that characterizes the relationship between the subject and the artwork.
  • B. inArtGenre chosen
    Indicates that an artwork or artistic work belongs to, is classified under, or is created in a particular art genre.
  • C. artSpecialty
    Indicates that an entity’s primary focus, expertise, or specialization is in a particular art form or artistic domain.
  • D. artCategory
    Indicates the classification relationship where an artwork is assigned to a particular artistic category or genre.
  • E. artMovement
    Indicates the artistic movement or style with which an artwork, artist, or cultural work is associated.
  • 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_69d85cd035a48190b73d5579ab73969a completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04eb8b4c48190b80fea6877483089 completed April 16, 2026, 2:51 a.m.
PD Predicate disambiguation batch_69deda868d4481908f4bce1c64d2902a completed April 15, 2026, 12:23 a.m.
Created at: April 10, 2026, 4:14 a.m.