GPT-3

E18819

autoregressive language model large language model transformer-based model

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.

Try in SPARQL Jump to: Surface forms Disambiguation Statements Elicitation Referenced by

All labels observed (11)

Label	Occurrences
GPT-3 canonical	11
GPT	1
GPT-3 1.3B	1
GPT-3 125M	1
GPT-3 13B	1
GPT-3 175B	1
GPT-3 2.7B	1
GPT-3 350M	1
GPT-3 6.7B	1
Generative Pre-trained Transformer 3	1
Language Models are Few-Shot Learners	1

How this entity was disambiguated

This entity first appeared as the object of triple T146313 — 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-3
Context triple: [OpenAI, developed, GPT-3]

A. GPT-2
GPT-2 is a large transformer-based language model known for generating coherent, human-like text and sparking widespread discussion about the implications of advanced AI text generation.
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. DALL·E
DALL·E is an AI model developed by OpenAI that generates images from natural language descriptions, enabling text-to-image synthesis.
D. OpenAI
OpenAI is an artificial intelligence research organization best known for developing advanced AI models such as ChatGPT and GPT series.
E. Claude
Claude is a given name most famously associated with Claude Shannon, the American mathematician and electrical engineer known as the father of information theory.
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-3
Target entity description: 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.

A. GPT-2
GPT-2 is a large transformer-based language model known for generating coherent, human-like text and sparking widespread discussion about the implications of advanced AI text generation.
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. DALL·E
DALL·E is an AI model developed by OpenAI that generates images from natural language descriptions, enabling text-to-image synthesis.
D. OpenAI
OpenAI is an artificial intelligence research organization best known for developing advanced AI models such as ChatGPT and GPT series.
E. Claude
Claude is a given name most famously associated with Claude Shannon, the American mathematician and electrical engineer known as the father of information theory.
F. None of above. chosen

Statements (57)

Predicate	Object
instanceOf	autoregressive language model ⓘ large language model ⓘ transformer-based model ⓘ
abbreviation	GPT-3 self-link ⓘ
announcedIn	2020 ⓘ
architecture	Transformer ⓘ
capability	few-shot learning ⓘ natural language generation ⓘ one-shot learning ⓘ question answering ⓘ summarization ⓘ text completion ⓘ translation ⓘ zero-shot learning ⓘ
commercialAccess	OpenAI Chat Completions API ⓘ surface form: OpenAI API
describedInPaper	GPT-3 self-linksurface differs ⓘ surface form: Language Models are Few-Shot Learners
developer	OpenAI ⓘ
fewShotPrompting	supported ⓘ
fineTuning	supports task-specific fine-tuning ⓘ
fullName	GPT-3 self-linksurface differs ⓘ surface form: Generative Pre-trained Transformer 3
inputType	text ⓘ
language	English ⓘ
license	proprietary ⓘ
limitation	can generate incorrect or fabricated information ⓘ may reflect biases in training data ⓘ sensitive to prompt phrasing ⓘ
modelSize	175 billion parameters ⓘ
notableVariant	GPT-3 self-linksurface differs ⓘ surface form: GPT-3 1.3B GPT-3 self-linksurface differs ⓘ surface form: GPT-3 125M GPT-3 self-linksurface differs ⓘ surface form: GPT-3 13B GPT-3 self-linksurface differs ⓘ surface form: GPT-3 175B GPT-3 self-linksurface differs ⓘ surface form: GPT-3 2.7B GPT-3 self-linksurface differs ⓘ surface form: GPT-3 350M GPT-3 self-linksurface differs ⓘ surface form: GPT-3 6.7B
numberOfParametersOfLargestVariant	175B ⓘ
outputType	text ⓘ
paperAuthors	Tom B. Brown et al. ⓘ
parameterCount	175,000,000,000 ⓘ
predecessor	GPT-2 ⓘ
releaseDate	June 2020 ⓘ
safetyMitigations	content filters via OpenAI API ⓘ
successor	GPT-3.5 ⓘ GPT-4 ⓘ
trainingCompute	hundreds of petaflop/s-days (approximate) ⓘ
trainingDataCutoff	October 2019 ⓘ
trainingDataSource	Common Crawl ⓘ WebText-like corpora ⓘ Wikipedia ⓘ books ⓘ
trainingObjective	next-token prediction ⓘ
trainingParadigm	self-supervised learning ⓘ unsupervised pre-training ⓘ
useCase	chatbots ⓘ code generation (via Codex derivatives) ⓘ content creation ⓘ virtual assistants ⓘ
zeroShotPrompting	supported ⓘ

How these facts were elicited

Referenced by (21)

Full triples — surface form annotated when it differs from this entity's canonical label.

OpenAI → developed → GPT-3 ⓘ

DALL·E → inspiredBy → GPT-3 ⓘ

DALL·E → relatedTo → GPT-3 ⓘ

Codex → relatedTo → GPT-3 ⓘ

GPT-2 → successor → GPT-3 ⓘ

GPT-2 → predecessor → GPT-3 ⓘ

this entity surface form: GPT

GPT-3.5 → predecessor → GPT-3 ⓘ

GPT-3 → fullName → GPT-3 self-linksurface differs ⓘ

this entity surface form: Generative Pre-trained Transformer 3

GPT-3 → abbreviation → GPT-3 self-link ⓘ

GPT-3 → describedInPaper → GPT-3 self-linksurface differs ⓘ

this entity surface form: Language Models are Few-Shot Learners