Triple
T19755948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gibsonian theory of perceptual learning |
E474500
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | ecological approach to perception |
C42582
|
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: ecological approach to perception Context triple: [Gibsonian theory of perceptual learning, instanceOf, ecological approach to 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.
Cognitive manipulation effect
Cognitive manipulation effect is the measurable change in an individual's thoughts, perceptions, or decisions resulting from deliberate psychological influence or information framing.
-
C.
cognitive science research center
A cognitive science research center is an interdisciplinary institution that investigates the nature of mind, intelligence, and cognition through collaborative studies in psychology, neuroscience, computer science, linguistics, philosophy, and related fields.
-
D.
symbolic cognitive architecture
A symbolic cognitive architecture is a computational framework that models human-like cognition using explicit, manipulable symbols and rule-based processes to represent and transform knowledge.
-
E.
behavior-based robotics paradigm
The behavior-based robotics paradigm is an approach to robot control that builds complex, adaptive behavior from the interaction and coordination of many simple, decentralized behavior modules directly coupled to sensors and actuators, rather than relying on centralized symbolic planning.
- 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.