AlphaGo
E39541
AlphaGo is an artificial intelligence program developed by DeepMind that became famous for defeating world champion Go players using deep neural networks and reinforcement learning.
All labels observed (10)
How this entity was disambiguated
This entity first appeared as the object of triple T307331 — 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: AlphaGo Context triple: [DeepMind, knownFor, AlphaGo]
-
A.
DeepMind
DeepMind is a leading artificial intelligence research company renowned for breakthroughs such as AlphaGo and deep reinforcement learning, operating as a subsidiary of Google.
-
B.
Google Brain
Google Brain is a deep learning research team at Google that pioneered many advances in neural networks and artificial intelligence.
-
C.
Element AI
Element AI was a Montreal-based artificial intelligence company and research lab known for developing enterprise AI solutions and advancing deep learning research.
-
D.
OpenAI Baselines
OpenAI Baselines is a collection of high-quality reference implementations of reinforcement learning algorithms released by OpenAI for research and benchmarking.
-
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: AlphaGo Target entity description: AlphaGo is an artificial intelligence program developed by DeepMind that became famous for defeating world champion Go players using deep neural networks and reinforcement learning.
-
A.
DeepMind
DeepMind is a leading artificial intelligence research company renowned for breakthroughs such as AlphaGo and deep reinforcement learning, operating as a subsidiary of Google.
-
B.
Google Brain
Google Brain is a deep learning research team at Google that pioneered many advances in neural networks and artificial intelligence.
-
C.
Element AI
Element AI was a Montreal-based artificial intelligence company and research lab known for developing enterprise AI solutions and advancing deep learning research.
-
D.
OpenAI Baselines
OpenAI Baselines is a collection of high-quality reference implementations of reinforcement learning algorithms released by OpenAI for research and benchmarking.
-
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 (53)
| Predicate | Object |
|---|---|
| instanceOf |
Go-playing program
ⓘ
artificial intelligence system ⓘ computer program ⓘ |
| alsoKnownAs |
AlphaGo Fan
ⓘ
AlphaGo ⓘ
surface form:
AlphaGo Lee
AlphaGo ⓘ
surface form:
AlphaGo Master
|
| basedOn |
deep learning
ⓘ
machine learning ⓘ policy networks ⓘ value networks ⓘ |
| boardGame | Go ⓘ |
| countryOfOrigin | United Kingdom ⓘ |
| developer |
DeepMind
ⓘ
DeepMind ⓘ
surface form:
Google DeepMind
|
| field |
artificial intelligence research
ⓘ
computer Go ⓘ |
| firstReleaseYear | 2015 ⓘ |
| genre | board game AI ⓘ |
| governingBodyInMatch |
Chinese Weiqi Association
ⓘ
Korea Baduk Association ⓘ |
| inspired |
AlphaZero
ⓘ
surface form:
AlphaGo Zero
AlphaZero ⓘ MuZero ⓘ |
| matchDate |
2015-10
ⓘ
2016-03 ⓘ 2017-05 ⓘ |
| matchLocation |
London, England
ⓘ
surface form:
London
Seoul ⓘ Wuzhen ⓘ |
| notableAchievement |
defeated European Go champion Fan Hui 5–0 in October 2015
ⓘ
defeated Ke Jie 3–0 in May 2017 ⓘ defeated world champion Lee Sedol 4–1 in March 2016 ⓘ first computer program to defeat a professional Go player on a full-sized 19x19 board without handicaps ⓘ |
| notableImpact | demonstrated the power of deep reinforcement learning in complex board games ⓘ |
| notableWork |
AlphaGo
self-linksurface differs
ⓘ
surface form:
AlphaGo Fan
Lee Sedol ⓘ
surface form:
AlphaGo Lee
AlphaGo self-linksurface differs ⓘ
surface form:
AlphaGo Master
|
| operatingSystem | Linux ⓘ |
| opponent |
Fan Hui
ⓘ
Ke Jie ⓘ Lee Sedol ⓘ |
| parentOrganizationOfDeveloper | Google ⓘ |
| programmingLanguage |
C++
ⓘ
Python ⓘ |
| sponsor | Google ⓘ |
| successor |
AlphaZero
ⓘ
surface form:
AlphaGo Zero
AlphaZero ⓘ MuZero ⓘ |
| trainingMethod |
reinforcement learning through self-play
ⓘ
supervised learning from human expert games ⓘ |
| uses |
Monte Carlo tree search
ⓘ
deep neural networks ⓘ reinforcement learning ⓘ |
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: AlphaGo Description of subject: AlphaGo is an artificial intelligence program developed by DeepMind that became famous for defeating world champion Go players using deep neural networks and reinforcement learning.
Referenced by (26)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
AlphaGo match against Lee Sedol
this entity surface form:
AlphaGo Fan
this entity surface form:
AlphaGo Master
this entity surface form:
AlphaGo Lee
this entity surface form:
AlphaGo Master
this entity surface form:
Mastering the game of Go with deep neural networks and tree search
this entity surface form:
AlphaGo project
this entity surface form:
AlphaGo vs Fan Hui match
this entity surface form:
AlphaGo–Fan Hui five-game match in 2015
this entity surface form:
AlphaGo development team
this entity surface form:
AlphaGo Master
this entity surface form:
AlphaGo Lee