Triple

T654108
Position Surface form Disambiguated ID Type / Status
Subject Grace Murray Hopper Award E11607 entity
Predicate notableRecipient P108 FINISHED
Object Yann LeCun E2909 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: Yann LeCun | Statement: [Grace Murray Hopper Award, notableRecipient, Yann LeCun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yann LeCun
Context triple: [Grace Murray Hopper Award, notableRecipient, Yann LeCun]
  • A. Yann LeCun chosen
    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.
  • 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. Geoffrey Hinton
    Geoffrey Hinton is a pioneering computer scientist widely regarded as one of the founding figures of deep learning and modern artificial intelligence.
  • E. Léon Bottou
    Léon Bottou is a French computer scientist known for his influential work in machine learning and neural networks, including key contributions to the development of the LeNet convolutional network.
  • 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_69a4932862a0819098be659c814e4981 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49f4bb5b881908a18b5ec1c94e0cf completed March 1, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69a591486b708190b0191e958c6c8851 completed March 2, 2026, 1:31 p.m.
Created at: March 1, 2026, 7:36 p.m.