Triple

T11969070
Position Surface form Disambiguated ID Type / Status
Subject Quinta del Sordo E284867 entity
Predicate BlackPaintingsSubjectMatter P63655 FINISHED
Object fantastical scenes 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: fantastical scenes | Statement: [Quinta del Sordo, BlackPaintingsSubjectMatter, fantastical scenes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: BlackPaintingsSubjectMatter
Context triple: [Quinta del Sordo, BlackPaintingsSubjectMatter, fantastical scenes]
  • A. paintedIn
    Indicates that an artwork or object was created or executed using paint within a specific time period or at a particular location.
  • B. artworkSubjectHeading chosen
    Indicates that an artwork is associated with a specific subject heading used to categorize or describe its thematic content.
  • C. paintedEvery
    Indicates that an entity applied paint to each and every relevant item in a specified set or domain.
  • D. paintingTradition
    Indicates a stylistic or cultural school of painting to which an artwork or artist belongs.
  • E. inspiredArtMovement
    Indicates that one entity served as a creative or conceptual influence leading to the development or direction of an art movement in the other 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_69d6ab2eaeb881909f7914758f859413 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9037bee54819085242a3ef3e286f9 completed April 10, 2026, 2:04 p.m.
PD Predicate disambiguation batch_69d8bb40f30c8190a0e0719bd67542bf completed April 10, 2026, 8:56 a.m.
Created at: April 8, 2026, 9:46 p.m.