Triple
T25433340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pólya’s urn model |
E637314
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | reinforcement process |
C50361
|
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: reinforcement process Context triple: [Pólya’s urn model, instanceOf, reinforcement process]
-
A.
learning process
The learning process is a dynamic sequence of cognitive, emotional, and behavioral activities through which an individual acquires, organizes, and applies new knowledge or skills over time.
-
B.
learned behavior
Learned behavior is an action or response that an organism acquires or modifies through experience, practice, or observation rather than being innate or instinctual.
-
C.
value-based reinforcement learning method
A value-based reinforcement learning method is an approach that learns a value function estimating expected future rewards for states or state-action pairs and derives a policy by selecting actions that maximize these estimated values.
-
D.
behaviorist
A behaviorist is a psychologist or theorist who explains learning and behavior primarily in terms of observable actions and environmental stimuli, rather than internal mental states.
-
E.
rebound effect
The rebound effect is the phenomenon where expected gains from increased efficiency (such as energy savings or health improvements) are partially or fully offset by behavioral or systemic responses that increase overall consumption or risk.
- 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_69e75db58a1c8190891b9ff7c2f8414e |
completed | April 21, 2026, 11:21 a.m. |
Created at: April 21, 2026, 1:58 p.m.