Triple
T23620751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bernoulli polynomials |
E583311
|
entity |
| Predicate | B1 |
P153301
|
FINISHED |
| Object | B_1(x) = x - 1/2 |
—
|
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: B_1(x) = x - 1/2 | Statement: [Bernoulli polynomials, B1, B_1(x) = x - 1/2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: B1 Context triple: [Bernoulli polynomials, B1, B_1(x) = x - 1/2]
-
A.
B_1
Indicates that one entity is the first or primary instance/member in an ordered series or group relative to another entity.
-
B.
B_3
Indicates that one entity is the third in a sequence, group, or ordered relation with respect to another entity.
-
C.
B_2
Indicates a secondary or alternative type of binary relationship between two entities, often used as a variant or refinement of a primary relation B.
-
D.
B_4
Indicates a specific type of relationship or interaction labeled as "B_4" between entities, whose exact nature depends on the domain-specific definition of this predicate.
-
E.
B_0
Indicates a basic or unspecified binary relationship between two entities, where the exact nature of the connection is not further defined.
- F. None of above. chosen
Provenance (4 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_69e248fbcd9081908ba08913f9d30826 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b178d20c819094b547c6c7ae6c01 |
completed | April 29, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69f118d0e0588190a86527a7747c5427 |
completed | April 28, 2026, 8:30 p.m. |
| PDg | Predicate description generation | batch_69f138b8c9248190b059bc38a9a50958 |
completed | April 28, 2026, 10:46 p.m. |
Created at: April 17, 2026, 6:45 p.m.