Triple

T1844417
Position Surface form Disambiguated ID Type / Status
Subject David Silver E41249 entity
Predicate notablePaper P4 FINISHED
Object Mastering the game of Go with deep neural networks and tree search E39541 NE FINISHED

How this triple was built (3 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: Mastering the game of Go with deep neural networks and tree search | Statement: [David Silver, notablePaper, Mastering the game of Go with deep neural networks and tree search]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mastering the game of Go with deep neural networks and tree search
Context triple: [David Silver, notablePaper, Mastering the game of Go with deep neural networks and tree search]
  • A. 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.
  • B. AlphaGo chosen
    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. Atari deep Q-network
    The Atari deep Q-network is a pioneering deep reinforcement learning system that learned to play a wide range of Atari 2600 video games directly from raw pixels at human-level or better performance.
  • D. 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.
  • E. AlphaStar
    AlphaStar is a DeepMind-created artificial intelligence system that achieved grandmaster-level performance in the real-time strategy game StarCraft II.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notablePaper
Context triple: [David Silver, notablePaper, Mastering the game of Go with deep neural networks and tree search]
  • A. notableEssay
    Indicates that an entity is the author or creator of an essay that is particularly significant, influential, or well-known.
  • B. notableArticle
    Indicates that there exists an article or written work that is especially significant, prominent, or noteworthy in relation to the subject.
  • C. notableAuthorPublished
    Indicates that a work was published by an author who is recognized as notable or distinguished.
  • D. notableWorkPresented
    Indicates that a particular notable work was presented, exhibited, or showcased by an entity (such as a person or organization).
  • E. notableWork chosen
    Indicates that one entity is a significant or well-known work (such as a book, artwork, or creation) produced by another entity.
  • F. None of above.

Provenance (4 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_69a88648cd44819093303206d96d76ad completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb32d35508190bf1c487dffbecaf0 completed March 7, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc9c070548190af52d3feaa3aead2 completed March 8, 2026, 7:10 p.m.
PD Predicate disambiguation batch_69abafdb0d2c8190a67f584e67979fa3 completed March 7, 2026, 4:55 a.m.
Created at: March 4, 2026, 7:33 p.m.