Triple

T560490
Position Surface form Disambiguated ID Type / Status
Subject Yoshua Bengio E13438 entity
Predicate TuringAwardCoRecipientWith P11455 FINISHED
Object Geoffrey Hinton E1872 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: Geoffrey Hinton | Statement: [Yoshua Bengio, TuringAwardCoRecipientWith, Geoffrey Hinton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Geoffrey Hinton
Context triple: [Yoshua Bengio, TuringAwardCoRecipientWith, Geoffrey Hinton]
  • A. Geoffrey Hinton chosen
    Geoffrey Hinton is a pioneering computer scientist widely regarded as one of the founding figures of deep learning and modern artificial intelligence.
  • B. 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.
  • C. Yoshua Bengio
    Yoshua Bengio is a Canadian computer scientist and deep learning pioneer whose work on neural networks and representation learning has been foundational to modern artificial intelligence.
  • D. Yann LeCun
    Yann LeCun is a pioneering computer scientist best known for his foundational work in deep learning and convolutional neural networks, which has profoundly shaped modern artificial intelligence.
  • E. Ian Goodfellow
    Ian Goodfellow is a machine learning researcher best known for inventing Generative Adversarial Networks (GANs) and co-authoring the influential textbook "Deep Learning."
  • 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: TuringAwardCoRecipientWith
Context triple: [Yoshua Bengio, TuringAwardCoRecipientWith, Geoffrey Hinton]
  • A. receivedTuringAwardWith
    Indicates that two or more entities jointly received the Turing Award in the same year or for the same recognized contribution.
  • B. roleInNobelPrize
    Indicates the specific capacity or function an entity had in relation to a particular Nobel Prize (e.g., laureate, nominee, organization, or associated role).
  • C. hasLaureate
    Indicates that an entity (such as an award or prize) has a specific person or group as its laureate or recipient.
  • D. coDeveloperOf
    Indicates that two or more entities jointly developed or collaborated in creating the same project, product, or work.
  • E. coRecipientOfAward chosen
    Indicates that two or more entities jointly received the same award.
  • 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_69a4933edcf08190b35ecfd6014caee6 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a499e13694819087a236bffa6601a9 completed March 1, 2026, 7:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4ed34f5b4819095eb95b428b53991 completed March 2, 2026, 1:51 a.m.
PD Predicate disambiguation batch_69a494befb8481908bb4e2e9f31e343b completed March 1, 2026, 7:34 p.m.
Created at: March 1, 2026, 7:32 p.m.