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.