AlphaStar
E41648
AlphaStar is a DeepMind-created artificial intelligence system that achieved grandmaster-level performance in the real-time strategy game StarCraft II.
All labels observed (2)
| Label | Occurrences |
|---|---|
| AlphaStar canonical | 1 |
| AlphaStar (StarCraft II agent) | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T307341 — 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: AlphaStar Context triple: [DeepMind, developed, AlphaStar]
-
A.
AlphaZero
AlphaZero is a DeepMind-developed artificial intelligence system that mastered complex games like chess, shogi, and Go through self-play reinforcement learning without human-crafted strategies.
-
B.
AlphaGo
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.
-
C.
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.
-
D.
Shane Legg
Shane Legg is a computer scientist and AI researcher best known as a co-founder of DeepMind and for his influential work on artificial general intelligence.
-
E.
Demis Hassabis
Demis Hassabis is a British artificial intelligence researcher, neuroscientist, and entrepreneur best known as the co-founder and CEO of DeepMind, a leading AI company acquired by Google.
- 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: AlphaStar Target entity description: AlphaStar is a DeepMind-created artificial intelligence system that achieved grandmaster-level performance in the real-time strategy game StarCraft II.
-
A.
AlphaZero
AlphaZero is a DeepMind-developed artificial intelligence system that mastered complex games like chess, shogi, and Go through self-play reinforcement learning without human-crafted strategies.
-
B.
AlphaGo
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.
-
C.
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.
-
D.
Shane Legg
Shane Legg is a computer scientist and AI researcher best known as a co-founder of DeepMind and for his influential work on artificial general intelligence.
-
E.
Demis Hassabis
Demis Hassabis is a British artificial intelligence researcher, neuroscientist, and entrepreneur best known as the co-founder and CEO of DeepMind, a leading AI company acquired by Google.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
artificial intelligence system
ⓘ
game-playing AI ⓘ |
| achievedRank | Grandmaster ⓘ |
| achievedRankIn | StarCraft II European ladder ⓘ |
| achievedRankRegion | Europe ⓘ |
| announcedBy | DeepMind ⓘ |
| announcedIn | 2018 ⓘ |
| basedOnGame | StarCraft II ⓘ |
| collaborator | Blizzard Entertainment ⓘ |
| defeatedPlayer |
MaNa
ⓘ
TLO ⓘ |
| developer |
DeepMind
ⓘ
DeepMind ⓘ
surface form:
Google DeepMind
|
| developerHeadquarters |
London, England
ⓘ
surface form:
London
|
| evaluationSetting | Blizzard ladder environment ⓘ |
| field |
artificial intelligence
ⓘ
deep reinforcement learning ⓘ machine learning ⓘ |
| gameGenre | real-time strategy ⓘ |
| handles |
long-term planning
ⓘ
partial observability ⓘ real-time decision making ⓘ |
| notableFor |
defeating professional StarCraft II players
ⓘ
playing StarCraft II at grandmaster level ⓘ real-time strategy game performance ⓘ |
| organizationTypeOfDeveloper | AI research lab ⓘ |
| platform |
IBM PC
ⓘ
surface form:
PC
|
| playsRace |
Protoss
ⓘ
Terran ⓘ Zerg ⓘ |
| publiclyRevealedIn | 2019 ⓘ |
| relatedTo |
AlphaGo
ⓘ
AlphaZero ⓘ |
| researchArea |
imperfect information games
ⓘ
multi-agent systems ⓘ sequential decision making ⓘ |
| trainingMethod |
league-based training
ⓘ
reinforcement learning via self-play ⓘ supervised learning from human replays ⓘ |
| usesAlgorithm |
deep neural networks
ⓘ
imitation learning ⓘ multi-agent reinforcement learning ⓘ reinforcement learning ⓘ self-play ⓘ |
| usesComponent |
LSTM
ⓘ
attention mechanism ⓘ neural network policy ⓘ value network ⓘ |
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: AlphaStar Description of subject: AlphaStar is a DeepMind-created artificial intelligence system that achieved grandmaster-level performance in the real-time strategy game StarCraft II.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
AlphaStar (StarCraft II agent)