Stan
E898984
Stan is a probabilistic programming language and platform widely used for Bayesian statistical modeling and inference, particularly via methods like Hamiltonian Monte Carlo.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Stan canonical | 7 |
How this entity was disambiguated
This entity first appeared as the object of triple T11002330 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stan Context triple: [Hamiltonian Monte Carlo, implementedIn, Stan]
-
A.
Stan
"Stan" is a critically acclaimed song by Eminem that tells the dark, narrative-driven story of an obsessive fan through a series of letters.
-
B.
Stan
Stan is a fast-talking, over-the-top used-boat and later used-coffin salesman known for his loud jacket and relentless sales pitches in the Monkey Island adventure game series.
-
C.
Steve
Steve is a central white homeowner character in the play "Clybourne Park," often embodying the tensions and awkward defenses of privilege in the story’s exploration of race and gentrification.
-
D.
Steve
Steve is the familiar given name of Stephen Gary Wozniak, the pioneering American computer engineer and co-founder of Apple Inc.
-
E.
Steve
Steve is a masculine given name commonly used in English-speaking countries, often as a short form of Stephen or Steven.
- 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: Stan Target entity description: Stan is a probabilistic programming language and platform widely used for Bayesian statistical modeling and inference, particularly via methods like Hamiltonian Monte Carlo.
-
A.
Stan
"Stan" is a critically acclaimed song by Eminem that tells the dark, narrative-driven story of an obsessive fan through a series of letters.
-
B.
Stan
Stan is a fast-talking, over-the-top used-boat and later used-coffin salesman known for his loud jacket and relentless sales pitches in the Monkey Island adventure game series.
-
C.
Steve
Steve is a central white homeowner character in the play "Clybourne Park," often embodying the tensions and awkward defenses of privilege in the story’s exploration of race and gentrification.
-
D.
Steve
Steve is a masculine given name commonly used in English-speaking countries, often as a short form of Stephen or Steven.
-
E.
Steve
Steve is the familiar given name of Stephen Gary Wozniak, the pioneering American computer engineer and co-founder of Apple Inc.
- F. None of above. chosen
Statements (54)
| Predicate | Object |
|---|---|
| instanceOf |
Bayesian modeling framework
ⓘ
probabilistic programming language ⓘ software platform ⓘ |
| designedFor |
Bayesian data analysis
ⓘ
linked to:
Bayesian inference
applied statistics ⓘ machine learning ⓘ statistical modeling ⓘ |
| hasComponent |
CmdStan
ⓘ
CmdStanPy ⓘ CmdStanR ⓘ
linked to:
RStan
PyStan ⓘ RStan ⓘ Stan C++ inference engine ⓘ Stan modeling language ⓘ |
| hasDocumentation |
Stan Functions Reference
ⓘ
linked to:
Wikifunctions
Stan Reference Manual ⓘ Stan User’s Guide ⓘ |
| hasFullName | Stan probabilistic programming language ⓘ |
| hasInterfaceLanguage |
Julia
ⓘ
MATLAB ⓘ Python ⓘ R ⓘ Stata ⓘ |
| hasWebsite | https://mc-stan.org ⓘ |
| implementedInLanguage | C++ ⓘ |
| isOpenSource | true ⓘ |
| license | BSD license ⓘ |
| maintainedBy | Stan Development Team ⓘ |
| primaryInferenceMethod |
Hamiltonian Monte Carlo
ⓘ
No-U-Turn Sampler ⓘ |
| supportsComputation |
automatic differentiation
ⓘ
gradient-based MCMC ⓘ |
| supportsMethod |
Markov chain Monte Carlo
ⓘ
optimization-based inference ⓘ variational inference ⓘ |
| supportsModelType |
generalized linear models
ⓘ
hierarchical models ⓘ multilevel models ⓘ nonlinear models ⓘ state-space models ⓘ time-series models ⓘ |
| supportsParadigm |
Bayesian inference
ⓘ
Bayesian statistical modeling ⓘ probabilistic programming ⓘ |
| usedFor |
parameter estimation
ⓘ
predictive modeling ⓘ uncertainty quantification ⓘ |
| usedInField |
biostatistics
ⓘ
ecology ⓘ econometrics ⓘ epidemiology ⓘ social sciences ⓘ statistics ⓘ |
| usesAlgorithm | leapfrog integrator ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Stan Description of subject: Stan is a probabilistic programming language and platform widely used for Bayesian statistical modeling and inference, particularly via methods like Hamiltonian Monte Carlo.
Referenced by (7)
Full triples — surface form annotated when it differs from this entity's canonical label.