Triple

T17752874
Position Surface form Disambiguated ID Type / Status
Subject Dyson index β E443154 entity
Predicate value4AssociatedWith P33135 FINISHED
Object Gaussian symplectic ensemble NE NERFINISHED

How this triple was built (3 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: Gaussian symplectic ensemble | Statement: [Dyson index β, value4AssociatedWith, Gaussian symplectic ensemble]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gaussian symplectic ensemble
Context triple: [Dyson index β, value4AssociatedWith, Gaussian symplectic ensemble]
  • A. Gaussian symplectic ensemble chosen
    The Gaussian symplectic ensemble is a random matrix ensemble of self-dual quaternionic Hermitian matrices used in random matrix theory to model systems with time-reversal symmetry and strong spin–orbit coupling.
  • B. Gaussian unitary ensemble
    The Gaussian unitary ensemble is a fundamental random matrix ensemble of complex Hermitian matrices with statistically independent, Gaussian-distributed entries, central to quantum chaos and random matrix theory.
  • C. Gaussian orthogonal ensemble
    The Gaussian orthogonal ensemble is a fundamental random matrix ensemble of real symmetric matrices with Gaussian-distributed entries, central to the study of eigenvalue statistics and universality in random matrix theory.
  • D. Gaussian ensembles
    Gaussian ensembles are families of random matrices characterized by specific symmetry properties that determine the statistical distribution of their eigenvalues.
  • E. Gaussian β-ensembles
    Gaussian β-ensembles are families of random matrix models in which eigenvalue statistics depend continuously on a parameter β that governs the strength of eigenvalue repulsion and interpolates between classical matrix ensembles.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: value4AssociatedWith
Context triple: [Dyson index β, value4AssociatedWith, Gaussian symplectic ensemble]
  • A. associatedValue chosen
    Indicates that one entity is linked to another entity that serves as its corresponding or contextually related value.
  • B. valueRelation
    Indicates a comparative or associative relationship between the values or magnitudes of two or more entities.
  • C. value
    Indicates that one entity possesses, represents, or corresponds to a particular quantity, quality, or assigned worth.
  • D. valueDefinedBy
    Indicates that the value of one entity is determined, specified, or constrained by another entity.
  • E. isAssociatedWith
    Indicates that there exists a connection, relationship, or involvement between two entities without specifying its exact nature.
  • F. None of above.

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_69d8b9edf16c8190a59ebd245d378f4f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4841c0540819093a32d759775c61f completed April 19, 2026, 7:28 a.m.
PD Predicate disambiguation batch_69e3cde9dc288190af0e2198487f2051 completed April 18, 2026, 6:31 p.m.
Created at: April 10, 2026, 10:10 a.m.