Stockfish
E214834
Stockfish is a powerful open-source chess engine renowned for its exceptional playing strength and widespread use in computer chess.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Stockfish canonical | 1 |
| Stockfish 8 | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1923050 — 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: Stockfish Context triple: [AlphaZero, outperforms, Stockfish]
-
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.
AlphaStar
AlphaStar is a DeepMind-created artificial intelligence system that achieved grandmaster-level performance in the real-time strategy game StarCraft II.
-
C.
Fritz
Fritz is an individual known primarily as the offspring of Fifi.
-
D.
MuZero
MuZero is a DeepMind reinforcement learning algorithm that learns to plan and master complex games like Go, chess, and Atari without being given the rules in advance.
-
E.
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.
- 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: Stockfish Target entity description: Stockfish is a powerful open-source chess engine renowned for its exceptional playing strength and widespread use in computer chess.
-
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.
AlphaStar
AlphaStar is a DeepMind-created artificial intelligence system that achieved grandmaster-level performance in the real-time strategy game StarCraft II.
-
C.
Fritz
Fritz is an individual known primarily as the offspring of Fifi.
-
D.
MuZero
MuZero is a DeepMind reinforcement learning algorithm that learns to plan and master complex games like Go, chess, and Atari without being given the rules in advance.
-
E.
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.
- F. None of above. chosen
Statements (57)
| Predicate | Object |
|---|---|
| instanceOf |
UCI chess engine
ⓘ
chess engine ⓘ free and open-source software ⓘ |
| developmentModel | community-driven project ⓘ |
| genre | computer chess ⓘ |
| hasDerivative |
Ethereal-inspired forks and derivatives
ⓘ
various NNUE-based forks ⓘ |
| hasFeature |
NNUE evaluation
ⓘ
SMP parallel search ⓘ alpha–beta pruning ⓘ bitboard representation ⓘ contempt settings ⓘ endgame tablebase support ⓘ iterative deepening search ⓘ multi-PV analysis ⓘ syzygy tablebase support ⓘ transposition table ⓘ |
| isFreeSoftware | true ⓘ |
| isOpenSource | true ⓘ |
| isRenownedFor |
community-driven development
ⓘ
exceptional playing strength ⓘ rapid development cycle ⓘ strong endgame play ⓘ strong tactical calculation ⓘ widespread use in computer chess ⓘ |
| license | GNU General Public License ⓘ |
| notableCompetition |
Houdini
ⓘ
Komodo ⓘ
linked to:
Komodo dragon
Leela Chess Zero ⓘ |
| operatingSystem |
Android
ⓘ
Linux ⓘ Windows ⓘ iOS ⓘ macOS ⓘ |
| primaryDomain | computer chess research ⓘ |
| programmingLanguage | C++ ⓘ |
| ranking | top engine on many rating lists ⓘ |
| sourceCodeRepository | GitHub ⓘ |
| supportsHardware |
CPU
ⓘ
SIMD instruction sets such as AVX-512 ⓘ SIMD instruction sets such as AVX2 ⓘ SIMD instruction sets such as SSE ⓘ |
| supportsProtocol |
Universal Chess Interface
ⓘ
XBoard/WinBoard protocol ⓘ |
| supportsVariant |
Chess960
ⓘ
some chess variants in derivative builds ⓘ standard chess ⓘ |
| useCase |
analysis of chess positions
ⓘ
cheating detection support ⓘ endgame study ⓘ engine vs engine tournaments ⓘ opening preparation ⓘ training and preparation for chess players ⓘ |
| usedBy |
Chess.com analysis tools
ⓘ
Lichess analysis board ⓘ Lichess server engine ⓘ many graphical user interfaces for chess ⓘ |
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: Stockfish Description of subject: Stockfish is a powerful open-source chess engine renowned for its exceptional playing strength and widespread use in computer chess.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.