Triple
T11927879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas J. Sargent |
E283829
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Rational Expectations and Econometric Practice
Rational Expectations and Econometric Practice is an influential collection of essays that helped formalize and popularize the rational expectations approach in macroeconomics and econometrics.
|
E955488
|
NE FINISHED |
How this triple was built (4 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Rational Expectations and Econometric Practice | Statement: [Thomas J. Sargent, notableWork, Rational Expectations and Econometric Practice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rational Expectations and Econometric Practice Context triple: [Thomas J. Sargent, notableWork, Rational Expectations and Econometric Practice]
-
A.
The Probability Approach in Econometrics
The Probability Approach in Econometrics is Trygve Haavelmo’s landmark work that founded modern econometrics by rigorously formulating economic relationships within a probabilistic, statistical framework.
-
B.
Recursive Macroeconomic Theory by Lars Ljungqvist and Thomas J. Sargent
"Recursive Macroeconomic Theory" by Lars Ljungqvist and Thomas J. Sargent is a graduate-level textbook that develops modern dynamic macroeconomics using recursive methods, with a strong emphasis on rigorous microfoundations and applications to topics such as growth, unemployment, and monetary and fiscal policy.
-
C.
rational expectations revolution
The rational expectations revolution was a major shift in macroeconomics that emphasized forward-looking behavior and microfoundations, fundamentally changing how economists model policy effects and anticipate agents’ responses.
-
D.
Econometric Model of the United States
Econometric Model of the United States is a large-scale macroeconometric model developed to analyze and forecast the U.S. economy, particularly associated with the pioneering work of economist Lawrence Klein.
-
E.
Klein–Tinbergen macroeconometric models
The Klein–Tinbergen macroeconometric models are pioneering large-scale quantitative models of national economies that integrated economic theory with statistical estimation to analyze and forecast macroeconomic activity.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Rational Expectations and Econometric Practice Triple: [Thomas J. Sargent, notableWork, Rational Expectations and Econometric Practice]
Generated description
Rational Expectations and Econometric Practice is an influential collection of essays that helped formalize and popularize the rational expectations approach in macroeconomics and econometrics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rational Expectations and Econometric Practice Target entity description: Rational Expectations and Econometric Practice is an influential collection of essays that helped formalize and popularize the rational expectations approach in macroeconomics and econometrics.
-
A.
The Probability Approach in Econometrics
The Probability Approach in Econometrics is Trygve Haavelmo’s landmark work that founded modern econometrics by rigorously formulating economic relationships within a probabilistic, statistical framework.
-
B.
Recursive Macroeconomic Theory by Lars Ljungqvist and Thomas J. Sargent
"Recursive Macroeconomic Theory" by Lars Ljungqvist and Thomas J. Sargent is a graduate-level textbook that develops modern dynamic macroeconomics using recursive methods, with a strong emphasis on rigorous microfoundations and applications to topics such as growth, unemployment, and monetary and fiscal policy.
-
C.
rational expectations revolution
The rational expectations revolution was a major shift in macroeconomics that emphasized forward-looking behavior and microfoundations, fundamentally changing how economists model policy effects and anticipate agents’ responses.
-
D.
Econometric Model of the United States
Econometric Model of the United States is a large-scale macroeconometric model developed to analyze and forecast the U.S. economy, particularly associated with the pioneering work of economist Lawrence Klein.
-
E.
Klein–Tinbergen macroeconometric models
The Klein–Tinbergen macroeconometric models are pioneering large-scale quantitative models of national economies that integrated economic theory with statistical estimation to analyze and forecast macroeconomic activity.
- F. None of above. chosen
Provenance (5 batches)
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_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903024afc8190a97aa3263dc7d017 |
completed | April 10, 2026, 2:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f440611e648190b2c47b43f02d2e4b |
completed | May 1, 2026, 5:55 a.m. |
| NEDg | Description generation | batch_69f448fb898081908a8ffd0da703c0f9 |
completed | May 1, 2026, 6:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f44b9e662881908549e041f6a05e38 |
completed | May 1, 2026, 6:43 a.m. |
Created at: April 8, 2026, 9:45 p.m.