Triple

T8901615
Position Surface form Disambiguated ID Type / Status
Subject Denis Sargan E211941 entity
Predicate hasTestNamedAfter P83998 FINISHED
Object Sargan overidentification test E764596 NE FINISHED

How this triple was built (2 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: Sargan overidentification test | Statement: [Denis Sargan, hasTestNamedAfter, Sargan overidentification test]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sargan overidentification test
Context triple: [Denis Sargan, hasTestNamedAfter, Sargan overidentification test]
  • A. Sargan test chosen
    The Sargan test is a statistical test used in econometrics to assess the validity of instrumental variables by checking overidentifying restrictions in regression models.
  • B. 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.
  • C. Heckman selection model
    The Heckman selection model is an econometric technique that corrects for sample selection bias in regression analysis by jointly modeling the selection process and the outcome equation.
  • D. Heckman correction
    The Heckman correction is an econometric technique that adjusts for sample selection bias in regression models by jointly modeling the selection process and the outcome.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca83918d3081909b326fa3750cb8c8 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc642a104081908df2d64e8f9ad0c8 completed April 1, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc1cb724c8190bc080d2a7f751e60 completed April 3, 2026, 1:34 p.m.
Created at: March 30, 2026, 6:54 p.m.