Triple
T18630843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucas asset pricing model |
E455411
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | consumption-based asset pricing model |
C6850
|
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: consumption-based asset pricing model Context triple: [Lucas asset pricing model, instanceOf, consumption-based asset pricing model]
-
A.
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.
-
B.
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.
-
C.
economic theory
chosen
Economic theory is a conceptual framework that explains how individuals, firms, and governments make decisions about the allocation of scarce resources and how these decisions shape the production, distribution, and consumption of goods and services.
-
D.
option pricing model
An option pricing model is a mathematical framework used to estimate the fair value of options by quantifying how factors like underlying asset price, volatility, time to expiration, interest rates, and dividends affect their expected payoff.
-
E.
economic forecasting model
An economic forecasting model is a structured analytical framework that uses historical data, statistical methods, and assumptions about future conditions to predict key economic variables such as growth, inflation, and employment.
- 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_69d8d38cc7948190a55ea64e5638994e |
completed | April 10, 2026, 10:40 a.m. |
Created at: April 10, 2026, 11:46 a.m.