Triple

T143865
Position Surface form Disambiguated ID Type / Status
Subject Yann LeCun E2909 entity
Predicate turingAwardCoRecipient 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, turingAwardCoRecipient, Geoffrey Hinton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Geoffrey Hinton
Context triple: [Yann LeCun, turingAwardCoRecipient, 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. 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.
  • C. 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.
  • D. 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."
  • E. Ilya Sutskever
    Ilya Sutskever is a leading artificial intelligence researcher and co-founder of OpenAI, known for his pioneering work in deep learning and neural networks.
  • 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: turingAwardCoRecipient
Context triple: [Yann LeCun, turingAwardCoRecipient, 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. hasLaureate
    Indicates that an entity (such as an award or prize) has a specific person or group as its laureate or recipient.
  • C. sharedNobelPrizeWith
    Indicates that two individuals were jointly awarded the same Nobel Prize, sharing the honor for a particular year and category.
  • D. typicalLaureateType
    Indicates the usual or most common type or category of laureate associated with something.
  • E. wasInventedBy
    Indicates that something (typically an object, concept, or process) was created or brought into existence by a particular inventor or originator.
  • 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_69a2521e35c08190b28e5c9f1e3c9b59 completed Feb. 28, 2026, 2:25 a.m.
NER Named-entity recognition batch_69a257caf678819092e975d5167f9df4 completed Feb. 28, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2c52c563c81908a53f3dbe1eb7455 completed Feb. 28, 2026, 10:36 a.m.
PD Predicate disambiguation batch_69a25656a4fc81908a87678ac3d28f93 completed Feb. 28, 2026, 2:43 a.m.
Created at: Feb. 28, 2026, 2:31 a.m.