Triple
T23587267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bernoulli distribution |
E582379
|
entity |
| Predicate | probabilityGeneratingFunction |
P152813
|
FINISHED |
| Object | G(s)=1-p+ps |
—
|
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: G(s)=1-p+ps | Statement: [Bernoulli distribution, probabilityGeneratingFunction, G(s)=1-p+ps]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: probabilityGeneratingFunction Context triple: [Bernoulli distribution, probabilityGeneratingFunction, G(s)=1-p+ps]
-
A.
hasMomentGeneratingFunction
Indicates that a random variable or probability distribution possesses a well-defined moment generating function characterizing all of its moments.
-
B.
definesProbability
Indicates that one entity specifies or assigns the probability value associated with another entity or event.
-
C.
hasGeneralFormula
Indicates that an entity (such as a class of compounds or expressions) is characterized by a general or canonical formula that represents all its specific instances.
-
D.
relationToBernoulliNumbers
Indicates a mathematical relationship or connection between an entity and the Bernoulli numbers, such as dependence, expression, or formulation in terms of them.
-
E.
characteristicFunction
Indicates that a function maps each element of a set (or domain) to a value (typically 0 or 1) that specifies whether the element has a particular property or belongs to a specified subset.
- 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_69e248f8d8248190acd5aee77f0d1709 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b03195748190b7e34f334902ac93 |
completed | April 29, 2026, 7:16 a.m. |
| PD | Predicate disambiguation | batch_69f118c96a0081908a8ac98ef7e7e60c |
completed | April 28, 2026, 8:30 p.m. |
| PDg | Predicate description generation | batch_69f121cc494081908c987adfcde89b0e |
completed | April 28, 2026, 9:08 p.m. |
Created at: April 17, 2026, 6:41 p.m.