Triple
T17587869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heckman selection model |
E428370
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | Tobit 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: Tobit model | Statement: [Heckman selection model, relatedTo, Tobit model]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tobit model Context triple: [Heckman selection model, relatedTo, Tobit model]
-
A.
Tobit model
chosen
The Tobit model is an econometric regression model designed for situations where the dependent variable is censored, allowing consistent estimation when observations are only partially observed beyond certain limits.
-
B.
Taxidea
Taxidea is a genus of mustelid mammals best known for the American badger, a burrowing carnivore native to North America.
-
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.
LGLM
LGLM is the ICAO airport code for Limnos International Airport, serving the island of Lemnos in Greece.
-
E.
The Choice of a Model
The Choice of a Model is a painting by Spanish artist Mariano Fortuny, exemplifying his refined technique and interest in intimate, studio-based scenes.
- 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.