Triple
T16402796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kuhn’s theorem |
E398341
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Harold W. Kuhn |
E87307
|
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: Harold W. Kuhn | Statement: [Kuhn’s theorem, namedAfter, Harold W. Kuhn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harold W. Kuhn Context triple: [Kuhn’s theorem, namedAfter, Harold W. Kuhn]
-
A.
Harold W. Kuhn
chosen
Harold W. Kuhn was an American mathematician and game theorist best known for his work on nonlinear programming and the Kuhn–Tucker conditions.
-
B.
Herbert Scarf
Herbert Scarf was an influential American economist and mathematician known for his work on general equilibrium theory, fixed-point theorems, and integer programming.
-
C.
Lloyd Shapley
Lloyd Shapley was an American mathematician and Nobel laureate renowned for his foundational contributions to game theory and the theory of stable matching.
-
D.
John Harsanyi
John Harsanyi was a Hungarian-American economist and Nobel laureate renowned for his foundational contributions to game theory and welfare economics, particularly his work on modeling rational behavior and social choice under uncertainty.
-
E.
William Karush
William Karush was an American mathematician best known for his early formulation of the Karush–Kuhn–Tucker conditions, a cornerstone of nonlinear optimization theory.
- 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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e327d0652081908f42f78b156f3ae7 |
completed | April 18, 2026, 6:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00758847948190b616cc85e208ee61 |
completed | May 10, 2026, 12:09 p.m. |
Created at: April 10, 2026, 5:09 a.m.