Triple
T20102067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hairston–Smith–Slobodkin hypothesis |
E496569
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | top-down control hypothesis |
C42851
|
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: top-down control hypothesis Context triple: [Hairston–Smith–Slobodkin hypothesis, instanceOf, top-down control hypothesis]
-
A.
ecological approach to perception
The ecological approach to perception is a theory that posits organisms directly perceive meaningful information (affordances) from the environment without needing internal reconstruction or inference.
-
B.
systems theory approach
A systems theory approach views phenomena as interconnected components within a larger whole, emphasizing relationships, feedback loops, and emergent behavior rather than isolated parts.
-
C.
export control law
Export control law is the body of legal rules and regulations that govern the transfer of goods, technology, software, and services across national borders to protect national security, foreign policy interests, and international obligations.
-
D.
optimal growth model
An optimal growth model is a dynamic economic framework that determines how a representative agent or planner allocates consumption and investment over time to maximize intertemporal welfare subject to resource and technological constraints.
-
E.
phyllotaxis model
A phyllotaxis model is a conceptual representation that mathematically or computationally simulates the spatial arrangement of leaves, seeds, or other botanical elements around a plant axis, often using spiral patterns and divergence angles.
- 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
Created at: April 11, 2026, 11:27 p.m.