Triple
T17587856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heckman selection model |
E428370
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | Heckit 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: Heckit model | Statement: [Heckman selection model, alternativeName, Heckit model]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heckit model Context triple: [Heckman selection model, alternativeName, Heckit model]
-
A.
Heckman
chosen
Heckman is a surname most prominently associated with Nobel Prize–winning economist James J. Heckman, known for his work on econometrics and labor economics.
-
B.
Hartis
Hartis is a prominent Somali clan family that forms one of the major lineages within the broader Somali clan system.
-
C.
Kestel
Kestel is a town and district in northwestern Turkey, situated near the city of Bursa in Bursa Province.
-
D.
Maquette
Maquette is a first-person recursive puzzle game known for its mind-bending, nested world design and emotional narrative about relationships.
-
E.
The Hec
The Hec is the popular nickname for Alaska Airlines Arena at Hec Edmundson Pavilion, the University of Washington’s primary indoor sports venue in Seattle.
- 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.