Triple

T33761220
Position Surface form Disambiguated ID Type / Status
Subject Dyson integral E865109 entity
Predicate instanceOf P0 FINISHED
Object object in random matrix theory C39118 CONCEPT FINISHED

How this triple was built (1 step)

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.

CD Concept disambiguation gpt-5-mini-2025-08-07
Target class: object in random matrix theory
Context triple: [Dyson integral, instanceOf, object in random matrix theory]
  • A. random matrix ensemble chosen
    A random matrix ensemble is a collection of matrices whose entries are random variables specified by a probability distribution, studied to understand the statistical properties of their eigenvalues and eigenvectors.
  • B. parameter in random matrix theory
    A parameter in random matrix theory is a variable (such as matrix size, symmetry class index, or coupling constant) that controls the statistical properties and limiting behavior of ensembles of random matrices.
  • C. result in probabilistic number theory
    A result in probabilistic number theory is a theorem or statement that describes the typical or average behavior of arithmetic objects (such as integers, primes, or multiplicative functions) using probabilistic models and methods.
  • D. object in invariant theory
    An object in invariant theory is a mathematical entity, such as a vector space, polynomial ring, or group action, whose structure and symmetries are studied through the functions or quantities that remain unchanged under a specified group of transformations.
  • E. Green’s function in Euclidean space
    A Green’s function in Euclidean space is a fundamental solution to a linear differential operator that represents the response at one point due to a unit source located at another point, enabling the construction of solutions to boundary value problems via superposition.
  • F. None of above.

Provenance (1 batch)

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_69f3498d3b748190aa3c4006c1f32f38 completed April 30, 2026, 12:22 p.m.
Created at: May 1, 2026, 1:45 a.m.