Triple

T3978489
Position Surface form Disambiguated ID Type / Status
Subject Color Field painting E85698 entity
Predicate usesSupport P24487 FINISHED
Object large canvas 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: large canvas | Statement: [Color Field painting, usesSupport, large canvas]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesSupport
Context triple: [Color Field painting, usesSupport, large canvas]
  • A. usedSupport
    Indicates that one entity employed or relied on another entity as a means of support or assistance in performing an action or achieving a result.
  • B. supportsUse
    Indicates that one entity enables, allows, or is compatible with the use or operation of another entity.
  • C. supportedIn
    Indicates that one entity is valid, applicable, or functionally enabled within the context, environment, platform, or scope defined by another entity.
  • D. usesSupportItem chosen
    Indicates that an entity employs or relies on a supporting item, tool, or aid to perform an action or fulfill a function.
  • E. supportsFeature
    Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
  • 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_69aed93908348190a26c8aaf4fab3e86 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefa3ef7ac8190abe02f440ff83c43 completed March 9, 2026, 4:50 p.m.
PD Predicate disambiguation batch_69aef8f492ac819089dbb9436dbcdd2b completed March 9, 2026, 4:44 p.m.
Created at: March 9, 2026, 3:33 p.m.