Triple

T1923050
Position Surface form Disambiguated ID Type / Status
Subject AlphaZero E40166 entity
Predicate outperforms P6555 FINISHED
Object Stockfish
Stockfish is a powerful open-source chess engine renowned for its exceptional playing strength and widespread use in computer chess.
E214834 NE FINISHED

How this triple was built (5 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Stockfish | Statement: [AlphaZero, outperforms, Stockfish]
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.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Stockfish
Triple: [AlphaZero, outperforms, Stockfish]
Generated description
Stockfish is a powerful open-source chess engine renowned for its exceptional playing strength and widespread use in computer chess.
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
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: outperforms
Context triple: [AlphaZero, outperforms, Stockfish]
  • A. improvesOn chosen
    Indicates that one entity enhances, refines, or performs better than another entity, typically by addressing its limitations or increasing its effectiveness.
  • B. over
    Indicates that one entity is positioned higher than and extending across or above another entity, often covering or spanning it.
  • C. superlative
    Indicates that one entity possesses a property to the greatest or least degree when compared with all others in a given set.
  • D. holdsOver
    Indicates that a certain condition, state, or relationship remains valid or continues to apply across a specified period, context, or range.
  • E. operatesOver
    Indicates that one entity performs actions or exerts functional control across, upon, or throughout another entity or domain.
  • F. None of above.

Provenance (6 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a8864298748190a2f2fd34f7ef8d77 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb23459ac819088ded5bfac9d4aad completed March 7, 2026, 5:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3e6678881908d72de7e0f19a648 completed March 8, 2026, 10:10 p.m.
NEDg Description generation batch_69adf471909881909de20d9d1fa0b372 completed March 8, 2026, 10:13 p.m.
NED2 Entity disambiguation (via description) batch_69adf50b17a081909b93ad3e08c71772 completed March 8, 2026, 10:15 p.m.
PD Predicate disambiguation batch_69abafed2ab481908920334e77b1021b completed March 7, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:35 p.m.