Triple
T17487013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benjamin Peirce |
E425801
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Linear Associative Algebra |
—
|
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: Linear Associative Algebra | Statement: [Benjamin Peirce, notableWork, Linear Associative Algebra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Linear Associative Algebra Context triple: [Benjamin Peirce, notableWork, Linear Associative Algebra]
-
A.
LinearAlgebra
LinearAlgebra is Julia’s standard library module providing core functionality for vectors, matrices, and advanced linear algebra operations.
-
B.
Moderne Algebra
Moderne Algebra is a foundational 20th-century textbook that systematically developed abstract algebra and helped shape the modern axiomatic approach to the subject.
-
C.
Relation Algebras
Relation Algebras is a mathematical monograph that develops the theory of relation algebras as an abstract algebraic framework for studying relations and their logical properties.
-
D.
linear algebra
Linear algebra is a branch of mathematics that studies vectors, vector spaces, linear transformations, and systems of linear equations, forming a foundation for many areas of science and engineering.
-
E.
Grassmann algebra
Grassmann algebra is an algebraic system that extends vector spaces with an antisymmetric product, forming the foundation of exterior algebra and widely used in geometry and physics.
- 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: Linear Associative Algebra Target entity description: Linear Associative Algebra is an 1870 mathematical treatise by Benjamin Peirce that helped lay foundational concepts for the modern theory of associative algebras and abstract algebra.
-
A.
LinearAlgebra
LinearAlgebra is Julia’s standard library module providing core functionality for vectors, matrices, and advanced linear algebra operations.
-
B.
Moderne Algebra
Moderne Algebra is a foundational 20th-century textbook that systematically developed abstract algebra and helped shape the modern axiomatic approach to the subject.
-
C.
Relation Algebras
Relation Algebras is a mathematical monograph that develops the theory of relation algebras as an abstract algebraic framework for studying relations and their logical properties.
-
D.
linear algebra
Linear algebra is a branch of mathematics that studies vectors, vector spaces, linear transformations, and systems of linear equations, forming a foundation for many areas of science and engineering.
-
E.
Grassmann algebra
Grassmann algebra is an algebraic system that extends vector spaces with an antisymmetric product, forming the foundation of exterior algebra and widely used in geometry and physics.
- 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_69d889dccf7481909264a1844a2e9100 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451d2a5208190b25944626e779fdc |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:48 a.m.