Triple
T13547076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lars Peter Hansen |
E323540
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Generalized method of moments
The generalized method of moments is an econometric estimation technique that uses sample moments to infer model parameters without requiring full specification of the underlying probability distribution.
|
E1046128
|
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: Generalized method of moments | Statement: [Lars Peter Hansen, notableWork, Generalized method of moments]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Generalized method of moments Context triple: [Lars Peter Hansen, notableWork, Generalized method of moments]
-
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.
Econometric Theory
Econometric Theory is a scholarly journal that publishes research on the theoretical foundations and methodological developments of econometrics.
-
C.
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.
-
D.
Frisch–Waugh–Lovell theorem
The Frisch–Waugh–Lovell theorem is a fundamental result in econometrics that shows how the coefficients of a multiple linear regression can be obtained by first partialling out (regressing out) other explanatory variables.
-
E.
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.
- 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: Generalized method of moments Triple: [Lars Peter Hansen, notableWork, Generalized method of moments]
Generated description
The generalized method of moments is an econometric estimation technique that uses sample moments to infer model parameters without requiring full specification of the underlying probability distribution.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Generalized method of moments Target entity description: The generalized method of moments is an econometric estimation technique that uses sample moments to infer model parameters without requiring full specification of the underlying probability distribution.
-
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.
Econometric Theory
Econometric Theory is a scholarly journal that publishes research on the theoretical foundations and methodological developments of econometrics.
-
C.
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.
-
D.
Frisch–Waugh–Lovell theorem
The Frisch–Waugh–Lovell theorem is a fundamental result in econometrics that shows how the coefficients of a multiple linear regression can be obtained by first partialling out (regressing out) other explanatory variables.
-
E.
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.
- 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafdb466881908fb46642dc66849d |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75da2c2008190b43a653a349ea0c7 |
completed | May 3, 2026, 2:37 p.m. |
| NEDg | Description generation | batch_69f75ed5457c819093081c6a22f13c91 |
completed | May 3, 2026, 2:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f75f7e9d2c81909ec5540b34ac97cb |
completed | May 3, 2026, 2:45 p.m. |
Created at: April 9, 2026, 9:45 p.m.