Triple

T9500705
Position Surface form Disambiguated ID Type / Status
Subject AlphaGo Zero E229130 entity
Predicate hasAuthor P4244 FINISHED
Object Thore Graepel
Thore Graepel is a German computer scientist and machine learning researcher known for his work at DeepMind on game-playing AI systems and reinforcement learning.
 E802575 NE FINISHED

How this triple was built (4 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: Thore Graepel | Statement: [AlphaGo Zero, hasAuthor, Thore Graepel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Thore Graepel
Context triple: [AlphaGo Zero, hasAuthor, Thore Graepel]
  • A. Max Welling
    Max Welling is a prominent machine learning researcher known for foundational contributions to probabilistic deep learning and Bayesian inference, including co-developing variational autoencoders.
  • B. Martin Riedmiller
    Martin Riedmiller is a German computer scientist and pioneer in deep reinforcement learning, known for his influential work on neural-network-based control and contributions to landmark deep RL systems.
  • C. Christopher J. C. Burges
    Christopher J. C. Burges is a computer scientist and machine learning researcher known for his contributions to pattern recognition and support vector machines.
  • D. Samy Bengio
    Samy Bengio is a prominent machine learning researcher known for his contributions to deep learning and his leadership roles at major AI organizations including Google and Apple.
  • E. Jonathon Shlens
    Jonathon Shlens is a computer scientist and researcher known for his contributions to deep learning and computer vision, including influential work at Google.
  • 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: Thore Graepel
Triple: [AlphaGo Zero, hasAuthor, Thore Graepel]
Generated description
Thore Graepel is a German computer scientist and machine learning researcher known for his work at DeepMind on game-playing AI systems and reinforcement learning.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Thore Graepel
Target entity description: Thore Graepel is a German computer scientist and machine learning researcher known for his work at DeepMind on game-playing AI systems and reinforcement learning.
  • A. Max Welling
    Max Welling is a prominent machine learning researcher known for foundational contributions to probabilistic deep learning and Bayesian inference, including co-developing variational autoencoders.
  • B. Martin Riedmiller
    Martin Riedmiller is a German computer scientist and pioneer in deep reinforcement learning, known for his influential work on neural-network-based control and contributions to landmark deep RL systems.
  • C. Christopher J. C. Burges
    Christopher J. C. Burges is a computer scientist and machine learning researcher known for his contributions to pattern recognition and support vector machines.
  • D. Samy Bengio
    Samy Bengio is a prominent machine learning researcher known for his contributions to deep learning and his leadership roles at major AI organizations including Google and Apple.
  • E. Jonathon Shlens
    Jonathon Shlens is a computer scientist and researcher known for his contributions to deep learning and computer vision, including influential work at Google.
  • F. None of above. chosen

Provenance (5 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.
NEDg Description generation batch_69d12db5c20881909a7011a3d25dd2b8 completed April 4, 2026, 3:26 p.m.
NED2 Entity disambiguation (via description) batch_69d12e4f1b9081908e73aa674d1ef0e4 completed April 4, 2026, 3:29 p.m.
Created at: March 30, 2026, 7:57 p.m.