GPT-4o
E472107
GPT-4o is an advanced multimodal large language model in the GPT series capable of understanding and generating text, images, and other data types with high efficiency.
All labels observed (1)
| Label | Occurrences |
|---|---|
| GPT-4o canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4804631 — 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-4o Context triple: [GPT series, hasMember, GPT-4o]
-
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.
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.
-
C.
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.
-
D.
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.
-
E.
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.
- 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-4o Target entity description: GPT-4o is an advanced multimodal large language model in the GPT series capable of understanding and generating text, images, and other data types with high efficiency.
-
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.
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.
-
C.
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.
-
D.
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.
-
E.
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.
- F. None of above. chosen
Statements (50)
| Predicate | Object |
|---|---|
| instanceOf |
artificial intelligence system
ⓘ
foundation model ⓘ multimodal large language model ⓘ |
| architecture | transformer ⓘ |
| capability |
code generation
ⓘ
conversation ⓘ image description ⓘ image understanding ⓘ natural language generation ⓘ natural language understanding ⓘ question answering ⓘ reasoning ⓘ summarization ⓘ tool use via APIs ⓘ translation ⓘ |
| designedFor | general-purpose AI tasks ⓘ |
| developer | OpenAI NERFINISHED ⓘ |
| domain |
artificial intelligence
ⓘ
machine learning ⓘ natural language processing ⓘ |
| family | GPT-4 family NERFINISHED ⓘ |
| hasFeature |
API access
ⓘ
contextual understanding ⓘ few-shot learning ⓘ instruction following ⓘ multilingual support ⓘ zero-shot generalization ⓘ |
| partOfSeries | GPT series NERFINISHED ⓘ |
| predecessor | GPT-4 NERFINISHED ⓘ |
| property |
high efficiency
ⓘ
multimodal reasoning ⓘ scalable deployment ⓘ |
| supportsModality |
audio
ⓘ
image ⓘ multimodal input ⓘ multimodal output ⓘ text ⓘ vision ⓘ |
| trainingDataType |
code repositories
ⓘ
image-text pairs ⓘ text corpora ⓘ |
| trainingMethod | transformer-based deep learning ⓘ |
| useCase |
chatbots
ⓘ
content creation ⓘ customer support automation ⓘ data analysis assistance ⓘ education and tutoring ⓘ research assistance ⓘ software development assistance ⓘ virtual assistants ⓘ |
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-4o Description of subject: GPT-4o is an advanced multimodal large language model in the GPT series capable of understanding and generating text, images, and other data types with high efficiency.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.