Triple

T8998070
Position Surface form Disambiguated ID Type / Status
Subject M. C. Escher E214968 entity
Predicate movement P81 FINISHED
Object Op art E185235 NE 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: Op art | Statement: [M. C. Escher, movement, Op art]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Op art
Context triple: [M. C. Escher, movement, Op art]
  • A. Op art chosen
    Op art is an abstract art movement that uses precise patterns, contrasts, and optical illusions to create a sense of movement and visual vibration.
  • B. Artěl
    Artěl was a Czech artists' and designers' cooperative active in the early 20th century that promoted modern applied arts and design.
  • C. ARTs
    ARTs are dual-status civilian and military personnel who provide full-time support to the U.S. Air Force Reserve by maintaining readiness, training, and continuity for reserve units.
  • D. Allart
    Allart is a Dutch given name historically borne by figures such as the 17th-century painter Allart van Everdingen.
  • E. Op Art
    Op Art is an abstract art movement that emerged in the 1960s, characterized by the use of geometric forms and optical illusions to create a sense of movement, vibration, or warping in the viewer’s perception.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca83a05c608190bdfdbdb25e994b39 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc68e23734819083a98f4ff0942479 completed April 1, 2026, 12:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0d586c881909090b424f6fd036f completed April 3, 2026, 2:38 p.m.
Created at: March 30, 2026, 7:05 p.m.