Triple

T5088722
Position Surface form Disambiguated ID Type / Status
Subject No. 10 (1950) E114700 entity
Predicate hasCompositionStyle P1609 FINISHED
Object stacked rectangular 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: stacked rectangular color fields | Statement: [No. 10 (1950), hasCompositionStyle, stacked rectangular color fields]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCompositionStyle
Context triple: [No. 10 (1950), hasCompositionStyle, stacked rectangular color fields]
  • A. hasStyle chosen
    Indicates that an entity possesses, exhibits, or is characterized by a particular style or manner.
  • B. hasSystemStyle
    Indicates that one entity is associated with, or characterized by, a particular system-defined style of another entity.
  • C. hasSubstyle
    Indicates that one style is a more specific or subordinate variant of another style within a hierarchical style structure.
  • D. hasHigherStyleThan
    Indicates that one entity’s style is considered superior or more fashionable than another’s.
  • E. hasContractStyle
    Indicates that one entity is associated with or characterized by a particular contract style or contractual format.
  • 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_69bd443e941881908eb4e8c685b6f656 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd753f6544819090c028b34ee87536 completed March 20, 2026, 4:26 p.m.
PD Predicate disambiguation batch_69bd715c0a448190afc837c6c31dc6ab completed March 20, 2026, 4:10 p.m.
Created at: March 20, 2026, 1:40 p.m.