IPython
E426666
IPython is an enhanced interactive Python shell and toolkit that provides powerful introspection, rich media, and parallel computing features, and serves as the core interactive engine behind Jupyter.
All labels observed (1)
| Label | Occurrences |
|---|---|
| IPython canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T4276993 — 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: IPython Context triple: [Jupyter Notebook, relatedTo, IPython]
-
A.
Jupyter Notebook
Jupyter Notebook is an open-source web-based interactive computing environment that allows users to create and share documents containing live code, equations, visualizations, and narrative text.
-
B.
JupyterLab
JupyterLab is a web-based interactive development environment for working with Jupyter notebooks, code, and data.
-
C.
Pythonidae
Pythonidae is a family of nonvenomous constrictor snakes that includes pythons found across Africa, Asia, and Australia.
-
D.
IronPython
IronPython is an implementation of the Python programming language that runs on the .NET framework, allowing Python code to interoperate seamlessly with .NET libraries and applications.
-
E.
Datalore
Datalore is JetBrains’ collaborative data science and analytics platform that combines notebooks, computation, and team features for working with code and data in the cloud.
- 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: IPython Target entity description: IPython is an enhanced interactive Python shell and toolkit that provides powerful introspection, rich media, and parallel computing features, and serves as the core interactive engine behind Jupyter.
-
A.
Jupyter Notebook
Jupyter Notebook is an open-source web-based interactive computing environment that allows users to create and share documents containing live code, equations, visualizations, and narrative text.
-
B.
JupyterLab
JupyterLab is a web-based interactive development environment for working with Jupyter notebooks, code, and data.
-
C.
Pythonidae
Pythonidae is a family of nonvenomous constrictor snakes that includes pythons found across Africa, Asia, and Australia.
-
D.
IronPython
IronPython is an implementation of the Python programming language that runs on the .NET framework, allowing Python code to interoperate seamlessly with .NET libraries and applications.
-
E.
Datalore
Datalore is JetBrains’ collaborative data science and analytics platform that combines notebooks, computation, and team features for working with code and data in the cloud.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
Python shell
ⓘ
interactive computing environment ⓘ open-source software ⓘ software project ⓘ |
| category |
data science tool
ⓘ
interactive shell ⓘ scientific computing tool ⓘ |
| coreOf | Jupyter interactive computing environment NERFINISHED ⓘ |
| developer |
Fernando Pérez
NERFINISHED
ⓘ
IPython Development Team NERFINISHED ⓘ |
| hasComponent |
IPython kernel
NERFINISHED
ⓘ
IPython parallel computing framework NERFINISHED ⓘ IPython terminal shell NERFINISHED ⓘ |
| implements | REPL for Python ⓘ |
| influenced |
Jupyter Notebook
NERFINISHED
ⓘ
Project Jupyter NERFINISHED ⓘ |
| initialReleaseYear | 2001 ⓘ |
| integratesWith |
Jupyter widgets
NERFINISHED
ⓘ
Matplotlib NERFINISHED ⓘ NumPy NERFINISHED ⓘ SciPy NERFINISHED ⓘ pandas ⓘ |
| license | BSD license NERFINISHED ⓘ |
| originCountry |
United States of America
ⓘ
surface form:
United States
|
| partOf | Project Jupyter ecosystem ⓘ |
| programmingLanguage | Python ⓘ |
| provides |
enhanced interactive Python shell
ⓘ
history management ⓘ introspection features ⓘ magic commands ⓘ rich media display ⓘ tab completion ⓘ |
| repository | https://github.com/ipython/ipython ⓘ |
| runsOn |
Linux
NERFINISHED
ⓘ
Windows NERFINISHED ⓘ macOS NERFINISHED ⓘ |
| supports |
inline plotting with Matplotlib
ⓘ
interactive data exploration ⓘ parallel computing ⓘ scientific computing workflows ⓘ |
| usedAs |
kernel for Jupyter Notebook
ⓘ
kernel for JupyterLab ⓘ |
| usedFor |
data analysis
ⓘ
prototyping Python code ⓘ research computing ⓘ teaching Python ⓘ |
| website | https://ipython.org ⓘ |
| writtenIn | Python NERFINISHED ⓘ |
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: IPython Description of subject: IPython is an enhanced interactive Python shell and toolkit that provides powerful introspection, rich media, and parallel computing features, and serves as the core interactive engine behind Jupyter.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.