GPT-4.1-mini
E472108
GPT-4.1-mini is a lightweight, cost-efficient variant of OpenAI’s GPT-4.1 model designed to provide strong language and reasoning capabilities with lower latency and resource usage.
All labels observed (2)
| Label | Occurrences |
|---|---|
| GPT-4.1 | 3 |
| GPT-4.1-mini canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4804633 — 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: GPT-4.1-mini Context triple: [GPT series, hasMember, GPT-4.1-mini]
-
A.
GPT-4
GPT-4 is a large multimodal language model known for its advanced reasoning, comprehension, and generation capabilities across text and images.
-
B.
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.
-
C.
GPT
GPT is a family of large language models developed by OpenAI that can understand and generate human-like text for a wide range of tasks.
-
D.
GPT-Neo
GPT-Neo is an open-source family of autoregressive language models developed by EleutherAI as a free alternative to OpenAI’s GPT-3.
-
E.
ChatGPT
ChatGPT is an advanced conversational AI model developed by OpenAI that can understand and generate human-like text across a wide range of topics and tasks.
- 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: GPT-4.1-mini Target entity description: GPT-4.1-mini is a lightweight, cost-efficient variant of OpenAI’s GPT-4.1 model designed to provide strong language and reasoning capabilities with lower latency and resource usage.
-
A.
GPT-4
GPT-4 is a large multimodal language model known for its advanced reasoning, comprehension, and generation capabilities across text and images.
-
B.
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.
-
C.
GPT
GPT is a family of large language models developed by OpenAI that can understand and generate human-like text for a wide range of tasks.
-
D.
GPT-Neo
GPT-Neo is an open-source family of autoregressive language models developed by EleutherAI as a free alternative to OpenAI’s GPT-3.
-
E.
ChatGPT
ChatGPT is an advanced conversational AI model developed by OpenAI that can understand and generate human-like text across a wide range of topics and tasks.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
AI model
ⓘ
foundation model ⓘ large language model ⓘ |
| belongsTo |
GPT model series
ⓘ
linked to:
GPT series
|
| capabilityLevel | mid-tier within GPT-4.1 family ⓘ |
| deploymentForm | cloud API ⓘ |
| designGoal |
cost efficiency
ⓘ
good language generation ⓘ good language understanding ⓘ low latency ⓘ strong reasoning capabilities ⓘ |
| developedBy | OpenAI ⓘ |
| family |
GPT-4.1
ⓘ
linked to:
GPT-4.1-mini
|
| intendedUsers |
businesses
ⓘ
developers ⓘ product teams ⓘ |
| isVariantOf |
GPT-4.1
ⓘ
linked to:
GPT-4.1-mini
|
| modelType | decoder-only transformer ⓘ |
| optimizedFor |
high-throughput workloads
ⓘ
interactive applications ⓘ latency-sensitive use cases ⓘ |
| provider |
OpenAI API
ⓘ
linked to:
OpenAI API platform
|
| reasoningFocus | everyday reasoning tasks ⓘ |
| relativeCost | cheaper to run than GPT-4.1 ⓘ |
| relativeSize | smaller than GPT-4.1 ⓘ |
| relativeSpeed | faster inference than GPT-4.1 ⓘ |
| supports |
English
ⓘ
multiple natural languages ⓘ |
| supportsModality |
code
ⓘ
images (input) ⓘ structured data (via text encoding) ⓘ text ⓘ |
| supportsTask |
chat-based interaction
ⓘ
code generation ⓘ natural language generation ⓘ natural language understanding ⓘ question answering ⓘ reasoning ⓘ summarization ⓘ tool-augmented workflows (via API integration) ⓘ translation ⓘ |
| tradeoff | lower cost and latency vs peak capability of larger GPT-4.1 models ⓘ |
| useCase |
assistants
ⓘ
chatbots ⓘ content generation ⓘ customer support automation ⓘ education applications ⓘ productivity tools ⓘ |
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: GPT-4.1-mini Description of subject: GPT-4.1-mini is a lightweight, cost-efficient variant of OpenAI’s GPT-4.1 model designed to provide strong language and reasoning capabilities with lower latency and resource usage.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: GPT-4.1-mini
linked to: GPT-4.1-mini
linked to: GPT-4.1-mini