Triple
T28861922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wishart distribution |
E728886
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | matrix-variate distribution |
C1604
|
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: matrix-variate distribution Context triple: [Wishart distribution, instanceOf, matrix-variate distribution]
-
A.
random matrix ensemble
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.
structured matrix
A structured matrix is a matrix whose entries follow a specific pattern or rule (such as Toeplitz, circulant, or banded structure), enabling more efficient storage and computation than a general dense matrix.
-
C.
statistical distribution
chosen
A statistical distribution is a conceptual model that describes how the values of a random variable are spread or likely to occur across its possible range.
-
D.
multivariate dependence measure
A multivariate dependence measure is a quantitative function that assesses the strength and structure of statistical relationships among multiple random variables simultaneously, beyond simple pairwise associations.
-
E.
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.
- 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_69f031a01cbc8190ba87270bb6fe4639 |
completed | April 28, 2026, 4:03 a.m. |
Created at: April 28, 2026, 6:47 a.m.