Triple

T17520856
Position Surface form Disambiguated ID Type / Status
Subject ARPACK E426675 entity
Predicate algorithmType P21840 FINISHED
Object Arnoldi method
The Arnoldi method is an iterative numerical algorithm used to approximate a few eigenvalues and eigenvectors of large, sparse matrices by constructing an orthonormal basis of a Krylov subspace.
E1274346 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: Arnoldi method | Statement: [ARPACK, algorithmType, Arnoldi method]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arnoldi method
Context triple: [ARPACK, algorithmType, Arnoldi method]
  • A. Richardson iteration
    Richardson iteration is an early iterative method for solving linear systems and other operator equations, based on repeated relaxation steps to progressively improve an approximate solution.
  • B. Lanczos algorithm
    The Lanczos algorithm is an iterative numerical method used to approximate eigenvalues and eigenvectors of large sparse matrices, particularly in scientific computing and numerical linear algebra.
  • C. Jacobi eigenvalue algorithm
    The Jacobi eigenvalue algorithm is an iterative numerical method for computing all eigenvalues and eigenvectors of a real symmetric matrix by applying a sequence of orthogonal similarity transformations.
  • D. Godunov's method
    Godunov's method is a numerical scheme for solving hyperbolic partial differential equations that uses exact or approximate Riemann solvers to compute fluxes at cell interfaces in finite-volume discretizations.
  • E. Jacobi method
    The Jacobi method is an iterative numerical algorithm used to solve systems of linear equations by repeatedly updating each variable using values from the previous iteration.
  • 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: Arnoldi method
Triple: [ARPACK, algorithmType, Arnoldi method]
Generated description
The Arnoldi method is an iterative numerical algorithm used to approximate a few eigenvalues and eigenvectors of large, sparse matrices by constructing an orthonormal basis of a Krylov subspace.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Arnoldi method
Target entity description: The Arnoldi method is an iterative numerical algorithm used to approximate a few eigenvalues and eigenvectors of large, sparse matrices by constructing an orthonormal basis of a Krylov subspace.
  • A. Richardson iteration
    Richardson iteration is an early iterative method for solving linear systems and other operator equations, based on repeated relaxation steps to progressively improve an approximate solution.
  • B. Lanczos algorithm
    The Lanczos algorithm is an iterative numerical method used to approximate eigenvalues and eigenvectors of large sparse matrices, particularly in scientific computing and numerical linear algebra.
  • C. Jacobi eigenvalue algorithm
    The Jacobi eigenvalue algorithm is an iterative numerical method for computing all eigenvalues and eigenvectors of a real symmetric matrix by applying a sequence of orthogonal similarity transformations.
  • D. Godunov's method
    Godunov's method is a numerical scheme for solving hyperbolic partial differential equations that uses exact or approximate Riemann solvers to compute fluxes at cell interfaces in finite-volume discretizations.
  • E. Jacobi method
    The Jacobi method is an iterative numerical algorithm used to solve systems of linear equations by repeatedly updating each variable using values from the previous iteration.
  • 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_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e452d23cf08190925510344fa36f57 completed April 19, 2026, 3:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01c94237d08190bb1f874735c87803 completed May 11, 2026, 12:19 p.m.
NEDg Description generation batch_6a01cabea2b48190a690b17a88d45b40 completed May 11, 2026, 12:25 p.m.
NED2 Entity disambiguation (via description) batch_6a01cefa08f8819086cb86ce22193baa completed May 11, 2026, 12:43 p.m.
Created at: April 10, 2026, 5:49 a.m.