Triple
T21953628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iwasawa decomposition |
E542127
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | KAN decomposition |
—
|
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: KAN decomposition | Statement: [Iwasawa decomposition, alsoKnownAs, KAN decomposition]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KAN decomposition Context triple: [Iwasawa decomposition, alsoKnownAs, KAN decomposition]
-
A.
CP decomposition
CP decomposition (CANDECOMP/PARAFAC) is a tensor factorization method that expresses a multi-way array as a sum of rank-one components, widely used for data analysis in fields like signal processing, chemometrics, and machine learning.
-
B.
Singular value decomposition
Singular value decomposition is a fundamental matrix factorization technique that expresses a matrix as the product of two orthogonal (or unitary) matrices and a diagonal matrix of singular values, widely used in numerical analysis, data compression, and dimensionality reduction.
-
C.
Schur decomposition
Schur decomposition is a matrix factorization in linear algebra that expresses a square matrix as a unitary (or orthogonal) matrix times an upper triangular matrix times the inverse of the unitary matrix, revealing its eigenvalues and simplifying many numerical computations.
-
D.
Tucker decomposition in multilinear algebra
Tucker decomposition in multilinear algebra is a form of higher-order principal component analysis that factorizes a tensor into a core tensor multiplied by factor matrices along each mode, enabling dimensionality reduction and structure discovery in multiway data.
-
E.
Decomposition
Decomposition is a short story from David Benioff’s collection "When the Nines Roll Over," exploring themes of decay, change, and the unraveling of personal or artistic integrity.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KAN decomposition Target entity description: KAN decomposition is a factorization of a semisimple Lie group into the product of a maximal compact subgroup, a maximal abelian subgroup, and a nilpotent subgroup, fundamental in Lie theory and harmonic analysis.
-
A.
CP decomposition
CP decomposition (CANDECOMP/PARAFAC) is a tensor factorization method that expresses a multi-way array as a sum of rank-one components, widely used for data analysis in fields like signal processing, chemometrics, and machine learning.
-
B.
Singular value decomposition
Singular value decomposition is a fundamental matrix factorization technique that expresses a matrix as the product of two orthogonal (or unitary) matrices and a diagonal matrix of singular values, widely used in numerical analysis, data compression, and dimensionality reduction.
-
C.
Schur decomposition
Schur decomposition is a matrix factorization in linear algebra that expresses a square matrix as a unitary (or orthogonal) matrix times an upper triangular matrix times the inverse of the unitary matrix, revealing its eigenvalues and simplifying many numerical computations.
-
D.
Tucker decomposition in multilinear algebra
Tucker decomposition in multilinear algebra is a form of higher-order principal component analysis that factorizes a tensor into a core tensor multiplied by factor matrices along each mode, enabling dimensionality reduction and structure discovery in multiway data.
-
E.
Decomposition
Decomposition is a short story from David Benioff’s collection "When the Nines Roll Over," exploring themes of decay, change, and the unraveling of personal or artistic integrity.
- F. None of above. chosen
Provenance (2 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_69e0c47ef0e48190a50e1bcc43f4b3fd |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1243dfb4081909bc7a722843ffea7 |
completed | April 28, 2026, 9:18 p.m. |
Created at: April 16, 2026, 7:59 p.m.