OpenAI Codex API
E96743
The OpenAI Codex API is a cloud-based interface that lets developers integrate Codex’s natural-language-to-code generation and code understanding capabilities into their own applications and tools.
All labels observed (2)
| Label | Occurrences |
|---|---|
| OpenAI Codex | 3 |
| OpenAI Codex API canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T805114 — 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: OpenAI Codex API Context triple: [Codex, powers, OpenAI Codex API]
-
A.
GitHub Copilot
GitHub Copilot is an AI-powered code completion and pair-programming tool that suggests code and entire functions directly within developers’ editors.
-
B.
ChatGPT Enterprise
ChatGPT Enterprise is OpenAI’s business-grade version of ChatGPT, offering enhanced security, admin controls, and scalable access to advanced AI capabilities for organizations.
-
C.
OpenAI
OpenAI is an artificial intelligence research organization best known for developing advanced AI models such as ChatGPT and GPT series.
-
D.
GPT-3.5
GPT-3.5 is a large language model that generates human-like text and powers conversational AI applications such as advanced chatbots and coding assistants.
-
E.
GPT-3
GPT-3 is a large-scale autoregressive language model known for generating human-like text and performing a wide range of natural language tasks with minimal fine-tuning.
- 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: OpenAI Codex API Target entity description: The OpenAI Codex API is a cloud-based interface that lets developers integrate Codex’s natural-language-to-code generation and code understanding capabilities into their own applications and tools.
-
A.
GitHub Copilot
GitHub Copilot is an AI-powered code completion and pair-programming tool that suggests code and entire functions directly within developers’ editors.
-
B.
ChatGPT Enterprise
ChatGPT Enterprise is OpenAI’s business-grade version of ChatGPT, offering enhanced security, admin controls, and scalable access to advanced AI capabilities for organizations.
-
C.
OpenAI
OpenAI is an artificial intelligence research organization best known for developing advanced AI models such as ChatGPT and GPT series.
-
D.
GPT-3.5
GPT-3.5 is a large language model that generates human-like text and powers conversational AI applications such as advanced chatbots and coding assistants.
-
E.
GPT-3
GPT-3 is a large-scale autoregressive language model known for generating human-like text and performing a wide range of natural language tasks with minimal fine-tuning.
- F. None of above. chosen
Statements (51)
| Predicate | Object |
|---|---|
| instanceOf |
application programming interface
ⓘ
cloud service ⓘ developer tool ⓘ |
| accessMethod |
HTTP
ⓘ
REST ⓘ |
| accessModel | cloud-based ⓘ |
| authenticationMethod | API key ⓘ |
| basedOn |
OpenAI Codex API
self-linksurface differs
ⓘ
surface form:
OpenAI Codex
|
| developedBy | OpenAI ⓘ |
| inputType |
natural language prompts
ⓘ
source code snippets ⓘ |
| intendedUser |
data scientists
ⓘ
researchers ⓘ software developers ⓘ |
| outputType |
code edits
ⓘ
code explanations ⓘ source code ⓘ |
| pricingModel | usage-based ⓘ |
| provider | OpenAI API platform ⓘ |
| requires | internet connection ⓘ |
| status | superseded by newer OpenAI code models in the main OpenAI API ⓘ |
| supportsCapability |
code completion
ⓘ
code editing ⓘ code explanation ⓘ code translation ⓘ code understanding ⓘ natural language to code generation ⓘ |
| supportsIntegration |
IDE extensions
ⓘ
command-line tools ⓘ desktop applications ⓘ web applications ⓘ |
| supportsLanguage |
C#
ⓘ
C++ ⓘ CSS ⓘ Go ⓘ HTML ⓘ Java ⓘ JavaScript ⓘ PHP ⓘ Python ⓘ Ruby ⓘ SQL ⓘ Unix shell ⓘ
surface form:
Shell
TypeScript programming language ⓘ
surface form:
TypeScript
many other programming languages ⓘ |
| useCase |
automating boilerplate code generation
ⓘ
building intelligent code editors ⓘ code refactoring assistance ⓘ creating natural language programming interfaces ⓘ integrating AI coding assistance into applications ⓘ learning and teaching programming ⓘ |
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: OpenAI Codex API Description of subject: The OpenAI Codex API is a cloud-based interface that lets developers integrate Codex’s natural-language-to-code generation and code understanding capabilities into their own applications and tools.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
OpenAI Codex
this entity surface form:
OpenAI Codex
this entity surface form:
OpenAI Codex