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.