Triple
T18044446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fisherian intertemporal choice theory |
E431735
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | intertemporal choice model |
C35812
|
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: intertemporal choice model Context triple: [Fisherian intertemporal choice theory, instanceOf, intertemporal choice model]
-
A.
theory of rational choice under risk
A theory of rational choice under risk explains how individuals should make decisions among uncertain outcomes by systematically comparing the expected utilities of available options, given their probabilities and the decision-maker’s preferences.
-
B.
optimal growth model
chosen
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.
-
C.
decision theory
Decision theory is the study of how agents should and do make rational choices under conditions of uncertainty, balancing preferences, probabilities, and outcomes.
-
D.
public choice theorist
A public choice theorist is a scholar who applies economic tools and rational-choice models to analyze how political decisions are made by self-interested voters, politicians, and bureaucrats.
-
E.
econometric model
An econometric model is a quantitative representation of economic relationships that uses statistical methods and real-world data to estimate, test, and forecast economic behavior.
- 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_69d8b906482481908183315b9ecf9994 |
completed | April 10, 2026, 8:47 a.m. |
Created at: April 10, 2026, 10:25 a.m.