Triple

T9470166
Position Surface form Disambiguated ID Type / Status
Subject Cage paintings E228368 entity
Predicate usesCompositionalStrategy P13064 FINISHED
Object successive layering and erasure — 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: successive layering and erasure | Statement: [Cage paintings, usesCompositionalStrategy, successive layering and erasure]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesCompositionalStrategy
Context triple: [Cage paintings, usesCompositionalStrategy, successive layering and erasure]
  • A. usesCompositionalDevice
    Indicates that an entity employs a specific compositional technique or device in creating or structuring something.
  • B. usesStrategy chosen
    Indicates that an entity intentionally applies a particular strategy or method to achieve a goal or perform an action.
  • C. compositionalApproach
    Indicates an approach where something is constructed, analyzed, or understood as a combination of smaller constituent parts and their arrangement.
  • D. previouslyComposedOf
    Indicates that something was formerly made up of or constituted by certain parts, elements, or members, but no longer is.
  • E. compositionalFeature
    Indicates that one entity is a structural or constituent feature that forms part of the composition or makeup of another entity.
  • 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_69ca846fee388190a6ec273fd644b88b completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7fe0c26c8190b17c4dd9d1d8410c completed April 1, 2026, 8:28 p.m.
PD Predicate disambiguation batch_69cca55f01b081908dc0f12eaa45f832 completed April 1, 2026, 4:55 a.m.
Created at: March 30, 2026, 7:53 p.m.