Triple
T23080557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eduard Study |
E575456
|
entity |
| Predicate | notableConcept |
P201
|
FINISHED |
| Object |
Study determinant
The Study determinant is a mathematical construct introduced by Eduard Study that extends the notion of a determinant to certain noncommutative algebraic settings, particularly in the study of quaternions and related structures.
|
E1570245
|
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: Study determinant | Statement: [Eduard Study, notableConcept, Study determinant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Study determinant Context triple: [Eduard Study, notableConcept, Study determinant]
-
A.
Sylvester determinant
The Sylvester determinant is a mathematical construct introduced by James Joseph Sylvester, typically referring to a determinant associated with resultants and elimination theory in algebra.
-
B.
Cauchy determinant
The Cauchy determinant is a classical determinant formula in linear algebra that gives a closed-form expression for matrices with entries of the form 1/(x_i + y_j), named after the French mathematician Augustin-Louis Cauchy.
-
C.
A Treatise on the Theory of Determinants
A Treatise on the Theory of Determinants is a foundational mathematical work by Thomas Muir that systematically develops and surveys the theory and applications of determinants.
-
D.
Jacobi's theorem on determinants
Jacobi's theorem on determinants is a fundamental result in linear algebra that relates the minors of a matrix to the minors of its adjugate (or inverse), providing key identities used in determinant and matrix theory.
-
E.
Cauchy–Binet formula
The Cauchy–Binet formula is a fundamental result in linear algebra that expresses the determinant of a product of two rectangular matrices as a sum of products of determinants of their square submatrices.
- 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: Study determinant Triple: [Eduard Study, notableConcept, Study determinant]
Generated description
The Study determinant is a mathematical construct introduced by Eduard Study that extends the notion of a determinant to certain noncommutative algebraic settings, particularly in the study of quaternions and related structures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Study determinant Target entity description: The Study determinant is a mathematical construct introduced by Eduard Study that extends the notion of a determinant to certain noncommutative algebraic settings, particularly in the study of quaternions and related structures.
-
A.
Sylvester determinant
The Sylvester determinant is a mathematical construct introduced by James Joseph Sylvester, typically referring to a determinant associated with resultants and elimination theory in algebra.
-
B.
Cauchy determinant
The Cauchy determinant is a classical determinant formula in linear algebra that gives a closed-form expression for matrices with entries of the form 1/(x_i + y_j), named after the French mathematician Augustin-Louis Cauchy.
-
C.
A Treatise on the Theory of Determinants
A Treatise on the Theory of Determinants is a foundational mathematical work by Thomas Muir that systematically develops and surveys the theory and applications of determinants.
-
D.
Jacobi's theorem on determinants
Jacobi's theorem on determinants is a fundamental result in linear algebra that relates the minors of a matrix to the minors of its adjugate (or inverse), providing key identities used in determinant and matrix theory.
-
E.
Cauchy–Binet formula
The Cauchy–Binet formula is a fundamental result in linear algebra that expresses the determinant of a product of two rectangular matrices as a sum of products of determinants of their square submatrices.
- 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_69e245be28d48190ad1348d5a73db37d |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18c66a80481909ebc2ba69f1e4bd9 |
completed | April 29, 2026, 4:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c15b0a6ac819085f13e7bdc82840f |
completed | May 19, 2026, 7:48 a.m. |
| NEDg | Description generation | batch_6a0c175e246081909d6451f245ccfe66 |
completed | May 19, 2026, 7:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c1820a4d88190aed59f50b4e7ec47 |
completed | May 19, 2026, 7:58 a.m. |
Created at: April 17, 2026, 3:56 p.m.