Triple

T9500691
Position Surface form Disambiguated ID Type / Status
Subject AlphaGo Zero E229130 entity
Predicate hasAuthor P4244 FINISHED
Object Julian Schrittwieser E754250 NE FINISHED

How this triple was built (2 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: Julian Schrittwieser | Statement: [AlphaGo Zero, hasAuthor, Julian Schrittwieser]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Julian Schrittwieser
Context triple: [AlphaGo Zero, hasAuthor, Julian Schrittwieser]
  • A. Julian Schrittwieser chosen
    Julian Schrittwieser is a computer scientist and AI researcher known for his work at DeepMind on advanced reinforcement learning and game-playing systems such as AlphaZero.
  • B. 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.
  • C. Nicolas Heess
    Nicolas Heess is a machine learning researcher known for his work in deep reinforcement learning, including contributions to algorithms such as Deep Deterministic Policy Gradient (DDPG).
  • 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. Oriol Vinyals
    Oriol Vinyals is a prominent computer scientist and machine learning researcher known for his influential work on deep learning, sequence-to-sequence models, and reinforcement learning at leading AI labs.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca84753660819098e8d416e89e26ae completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd983c308c8190bde6858ac1ca8ea5 completed April 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12d439c6881909832afcc1154bca8 completed April 4, 2026, 3:24 p.m.
Created at: March 30, 2026, 7:57 p.m.