Triple

T1232017
Position Surface form Disambiguated ID Type / Status
Subject Yann LeCun E26462 entity
Predicate sharesTuringAwardWith P2586 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: [Yann LeCun, sharesTuringAwardWith, Geoffrey Hinton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Geoffrey Hinton
Context triple: [Yann LeCun, sharesTuringAwardWith, 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. Alex Krizhevsky
    Alex Krizhevsky is a computer scientist best known for co-developing the AlexNet convolutional neural network, which revolutionized deep learning in computer vision.
  • 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: sharesTuringAwardWith
Context triple: [Yann LeCun, sharesTuringAwardWith, Geoffrey Hinton]
  • A. receivedTuringAwardWith chosen
    Indicates that two or more entities jointly received the Turing Award in the same year or for the same recognized contribution.
  • B. sharedNobelPrizeWith
    Indicates that two individuals were jointly awarded the same Nobel Prize, sharing the honor for a particular year and category.
  • C. awardedJointlyWith
    Indicates that an award or honor is given to one entity together with another entity as co-recipients.
  • D. hasLaureate
    Indicates that an entity (such as an award or prize) has a specific person or group as its laureate or recipient.
  • E. 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).
  • 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_69a4948571c88190a9191e451e6035fd completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be5a25348190a0665b6324c4d8f5 completed March 1, 2026, 10:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8a1457a08190aef2f7fed6c6725f completed March 7, 2026, 8:27 p.m.
PD Predicate disambiguation batch_69a4bb65d61c8190bf0424ea0019a98b completed March 1, 2026, 10:19 p.m.
Created at: March 1, 2026, 7:47 p.m.