Triple
T8630232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hicksian demand |
E204381
|
entity |
| Predicate | implies |
P1661
|
FINISHED |
| Object |
Slutsky substitution matrix is negative semidefinite
The Slutsky substitution matrix is negative semidefinite is a core result in consumer theory stating that, under standard assumptions, the matrix of compensated price effects has non-positive eigenvalues, reflecting the law of demand in a multigood setting.
|
E746878
|
NE FINISHED |
How this triple was built (4 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: Slutsky substitution matrix is negative semidefinite | Statement: [Hicksian demand, implies, Slutsky substitution matrix is negative semidefinite]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Slutsky substitution matrix is negative semidefinite Context triple: [Hicksian demand, implies, Slutsky substitution matrix is negative semidefinite]
-
A.
Sylvester’s law of inertia
Sylvester’s law of inertia is a theorem in linear algebra stating that the numbers of positive, negative, and zero eigenvalues (the inertia) of a real symmetric matrix are invariant under change of basis.
-
B.
Gale–Nikaidō–Debreu theorem
The Gale–Nikaidō–Debreu theorem is a fundamental result in mathematical economics that provides conditions ensuring the existence (and sometimes uniqueness) of equilibrium in certain nonlinear and general equilibrium models.
-
C.
Karush–Kuhn–Tucker conditions
The Karush–Kuhn–Tucker conditions are fundamental optimality criteria in nonlinear programming that generalize Lagrange multipliers to handle inequality constraints.
-
D.
Toeplitz matrices
Toeplitz matrices are structured matrices whose entries are constant along each diagonal, playing a central role in operator theory, numerical analysis, and signal processing.
-
E.
Sylvester determinant
The Sylvester determinant is a mathematical construct introduced by James Joseph Sylvester, typically referring to a determinant associated with resultants and elimination theory in algebra.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Slutsky substitution matrix is negative semidefinite Triple: [Hicksian demand, implies, Slutsky substitution matrix is negative semidefinite]
Generated description
The Slutsky substitution matrix is negative semidefinite is a core result in consumer theory stating that, under standard assumptions, the matrix of compensated price effects has non-positive eigenvalues, reflecting the law of demand in a multigood setting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Slutsky substitution matrix is negative semidefinite Target entity description: The Slutsky substitution matrix is negative semidefinite is a core result in consumer theory stating that, under standard assumptions, the matrix of compensated price effects has non-positive eigenvalues, reflecting the law of demand in a multigood setting.
-
A.
Sylvester’s law of inertia
Sylvester’s law of inertia is a theorem in linear algebra stating that the numbers of positive, negative, and zero eigenvalues (the inertia) of a real symmetric matrix are invariant under change of basis.
-
B.
Gale–Nikaidō–Debreu theorem
The Gale–Nikaidō–Debreu theorem is a fundamental result in mathematical economics that provides conditions ensuring the existence (and sometimes uniqueness) of equilibrium in certain nonlinear and general equilibrium models.
-
C.
Karush–Kuhn–Tucker conditions
The Karush–Kuhn–Tucker conditions are fundamental optimality criteria in nonlinear programming that generalize Lagrange multipliers to handle inequality constraints.
-
D.
Toeplitz matrices
Toeplitz matrices are structured matrices whose entries are constant along each diagonal, playing a central role in operator theory, numerical analysis, and signal processing.
-
E.
Sylvester determinant
The Sylvester determinant is a mathematical construct introduced by James Joseph Sylvester, typically referring to a determinant associated with resultants and elimination theory in algebra.
- F. None of above. chosen
Provenance (5 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_69ca834b903c8190add96cc651e1a477 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc47406efc8190b559c68764b7455d |
completed | March 31, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebc0acf508190a090fb1edf9420d2 |
completed | April 2, 2026, 6:57 p.m. |
| NEDg | Description generation | batch_69cebcc22d208190801b4ec58614dfcb |
completed | April 2, 2026, 7 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cebdf3f288819088d83165c741d092 |
completed | April 2, 2026, 7:05 p.m. |
Created at: March 30, 2026, 6:27 p.m.