Triple
T36825665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Global Neuronal Workspace Theory of Consciousness |
E910003
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | cognitive neuroscience theory |
C36931
|
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: cognitive neuroscience theory Context triple: [Global Neuronal Workspace Theory of Consciousness, instanceOf, cognitive neuroscience theory]
-
A.
cognitive neuroscience model
chosen
A cognitive neuroscience model is a theoretical or computational framework that explains how brain structures and neural processes give rise to cognitive functions such as perception, memory, decision-making, and language.
-
B.
cognitive neuroscientist
A cognitive neuroscientist is a scientist who studies how brain structures and processes give rise to mental functions such as perception, memory, language, and decision-making.
-
C.
theoretical approach in cognitive science
A theoretical approach in cognitive science is a coherent framework of concepts, assumptions, and principles used to explain, model, and predict cognitive processes such as perception, memory, language, and reasoning.
-
D.
theoretical neuroscientist
A theoretical neuroscientist develops mathematical, computational, and conceptual models to explain how neural systems give rise to cognition, behavior, and brain dynamics.
-
E.
cognitive psychologist
A cognitive psychologist is a professional who studies mental processes such as perception, memory, reasoning, language, and problem-solving to understand how people acquire, process, and use information.
- F. None of above.
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_69f76e7dd13c81908c60b05adb49eeb5 |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:13 p.m.