Triple

T5910849
Position Surface form Disambiguated ID Type / Status
Subject Alex Krizhevsky E131452 entity
Predicate networkNameOrigin P3325 FINISHED
Object AlexNet named after Alex Krizhevsky E74105 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: AlexNet named after Alex Krizhevsky | Statement: [Alex Krizhevsky, networkNameOrigin, AlexNet named after Alex Krizhevsky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AlexNet named after Alex Krizhevsky
Context triple: [Alex Krizhevsky, networkNameOrigin, AlexNet named after Alex Krizhevsky]
  • A. AlexNet chosen
    AlexNet is a pioneering deep convolutional neural network architecture that dramatically advanced image recognition performance and helped spark the modern deep learning revolution after winning the 2012 ImageNet competition.
  • B. LeNet
    LeNet is one of the earliest convolutional neural network architectures, pioneering modern deep learning approaches to image recognition and handwritten digit classification.
  • C. Inception architecture
    The Inception architecture is a deep convolutional neural network design that introduced parallel multi-scale processing modules to achieve state-of-the-art image recognition performance with improved computational efficiency.
  • D. ResNet
    ResNet is a deep convolutional neural network architecture known for its use of residual connections to enable very deep models and achieve state-of-the-art performance in image recognition tasks.
  • E. GoogLeNet
    GoogLeNet is a deep convolutional neural network developed by Google that popularized the Inception architecture and achieved state-of-the-art performance in image recognition tasks.
  • 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: networkNameOrigin
Context triple: [Alex Krizhevsky, networkNameOrigin, AlexNet named after Alex Krizhevsky]
  • A. originalNetworkName
    Indicates the name of the network from which something (e.g., data, content, or a connection) originally came.
  • B. originalNetwork
    Indicates that one entity is the original or source network from which another network or derived entity is based or obtained.
  • C. networkMapName
    Indicates the designated name or label assigned to a particular network map within a system or context.
  • D. hasNameOrigin chosen
    Indicates that the origin or source of an entity’s name is specified by the related entity.
  • E. networkOwner
    Indicates that one entity holds ownership or primary control over a particular network.
  • 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_69c008593a44819081a07ae0efe6c574 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c048fc112c8190b905bf561c9de096 completed March 22, 2026, 7:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b17375488190a3053d37712501b3 completed March 23, 2026, 3:20 a.m.
PD Predicate disambiguation batch_69c03352208c8190968efed05a9fd416 completed March 22, 2026, 6:22 p.m.
Created at: March 22, 2026, 3:59 p.m.