Triple

T32319389
Position Surface form Disambiguated ID Type / Status
Subject Paul Signac’s Saint-Tropez series E825731 entity
Predicate pictorialCharacteristic P173968 FINISHED
Object vivid color contrasts 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: vivid color contrasts | Statement: [Paul Signac’s Saint-Tropez series, pictorialCharacteristic, vivid color contrasts]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: pictorialCharacteristic
Context triple: [Paul Signac’s Saint-Tropez series, pictorialCharacteristic, vivid color contrasts]
  • A. iconographicRepresentation
    Indicates that one entity serves as a visual or symbolic depiction of another, typically in an artistic, religious, or cultural context.
  • B. iconographyFeature
    Indicates a visual element or motif that appears as a distinct feature within a work’s iconography.
  • C. iconographicForm
    Indicates the specific visual or symbolic representation that an entity takes within an image or artwork.
  • D. depictionDetail
    Indicates that one depiction provides additional detail, refinement, or a closer view of what is shown in another depiction.
  • E. depictsAttribute
    Indicates that one entity visually represents or illustrates a specific attribute or characteristic of another entity.
  • F. None of above. chosen

Provenance (4 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_69f34912d0c48190bba75770660320e9 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6bdbe13748190854e7a42335bf6cd completed May 3, 2026, 3:15 a.m.
PD Predicate disambiguation batch_69f6b632cf788190a3d0c08cd026b84b completed May 3, 2026, 2:42 a.m.
PDg Predicate description generation batch_69f6b960ca4081909a77690c2b122f5e completed May 3, 2026, 2:56 a.m.
Created at: May 1, 2026, 12:46 a.m.