Triple

T1014546
Position Surface form Disambiguated ID Type / Status
Subject Barnett Newman E21900 entity
Predicate artisticStyleCharacteristic P16367 FINISHED
Object large monochromatic color fields 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 monochromatic color fields | Statement: [Barnett Newman, artisticStyleCharacteristic, large monochromatic color fields]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: artisticStyleCharacteristic
Context triple: [Barnett Newman, artisticStyleCharacteristic, large monochromatic color fields]
  • A. artisticCharacteristic chosen
    Indicates that one entity possesses or exhibits a particular artistic quality, style, or trait in relation to another.
  • B. artisticStyle
    Indicates the artistic movement, style, or aesthetic approach that characterizes how something is created or visually expressed.
  • C. artisticTechnique
    Indicates the method, style, or process used to create or execute an artistic work.
  • D. artisticTheme
    Indicates the central artistic subject, concept, or motif that characterizes or is expressed by a creative work.
  • E. artisticDepiction
    Indicates that one entity visually represents, portrays, or illustrates another in an artistic medium.
  • 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_69a493c68e24819080ed0ee8bcfd5ce0 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7be907c8190b5c6ea89257755a7 completed March 1, 2026, 10:03 p.m.
PD Predicate disambiguation batch_69a4b72207c08190a3dbb2aa7acbbc71 completed March 1, 2026, 10:01 p.m.
Created at: March 1, 2026, 7:41 p.m.