Triple
T19755946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gibsonian theory of perceptual learning |
E474500
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | theory of perception |
C42581
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: theory of perception Context triple: [Gibsonian theory of perceptual learning, instanceOf, theory of perception]
-
A.
museum of human perception
A museum of human perception is an experiential space that curates interactive exhibits, artworks, and scientific displays to explore how humans sense, interpret, and sometimes misperceive reality.
-
B.
aesthetic theory
Aesthetic theory is the branch of philosophy that investigates the nature of beauty, art, and taste, and the principles by which we perceive and evaluate aesthetic experiences.
-
C.
theory of reference
A theory of reference is a philosophical account that explains how words, names, or expressions connect to and stand for objects, properties, or entities in the world.
-
D.
theory of sense and reference
The theory of sense and reference is a philosophical framework, originating with Frege, that distinguishes between the meaning or mode of presentation of an expression (sense) and the actual object or truth-value it stands for (reference) to explain how language conveys information and supports rational thought.
-
E.
theory of predication
The theory of predication is a philosophical account of how properties, relations, or attributes are meaningfully ascribed to subjects in propositions, explaining the structure and truth-conditions of statements like “S is P.”
- F. None of above. chosen
Provenance (1 batch)
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_69d8e51940a0819087bd2996f98da668 |
completed | April 10, 2026, 11:55 a.m. |
Created at: April 10, 2026, 1:48 p.m.