Triple
T33761152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jack polynomials |
E865107
|
entity |
| Predicate | parameterRelation |
P12083
|
FINISHED |
| Object | β = 2/α in random matrix theory conventions |
—
|
LITERAL FINISHED |
How this triple was built (2 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: β = 2/α in random matrix theory conventions | Statement: [Jack polynomials, parameterRelation, β = 2/α in random matrix theory conventions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parameterRelation Context triple: [Jack polynomials, parameterRelation, β = 2/α in random matrix theory conventions]
-
A.
valueRelation
Indicates a comparative or associative relationship between the values or magnitudes of two or more entities.
-
B.
datumRelation
chosen
Indicates a relationship where one piece of data is connected to, derived from, or otherwise associated with another piece of data.
-
C.
subjectRelation
Indicates that one entity stands in a specified relational role or connection to another entity.
-
D.
stepRelation
Indicates a relationship where one entity is a step-relative of another, such as a stepparent, stepchild, or stepsibling connection.
-
E.
testsRelation
Indicates a relationship where one entity evaluates, examines, or verifies another entity, typically to assess its properties, behavior, or correctness.
- 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_69f3498d3b748190aa3c4006c1f32f38 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc5740fc81909774a4f65201a3ff |
completed | May 3, 2026, 7:42 a.m. |
Created at: May 1, 2026, 1:45 a.m.