Triple

T17587917
Position Surface form Disambiguated ID Type / Status
Subject Sample Selection Bias as a Specification Error E428372 entity
Predicate mainConcept P533 FINISHED
Object Heckman selection model — NE NERFINISHED

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: Heckman selection model | Statement: [Sample Selection Bias as a Specification Error, mainConcept, Heckman selection model]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Heckman selection model
Context triple: [Sample Selection Bias as a Specification Error, mainConcept, Heckman selection model]
  • A. Heckman selection model chosen
    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.
  • B. 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.
  • C. “Sample Selection Bias as a Specification Error”
    “Sample Selection Bias as a Specification Error” is a landmark econometrics paper by James Heckman that introduced the Heckman correction for dealing with non-randomly selected samples in statistical analysis.
  • 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. 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 (2 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e469e41bf08190963848f1597b6e9f completed April 19, 2026, 5:36 a.m.
Created at: April 10, 2026, 5:51 a.m.