Triple

T15361372
Position Surface form Disambiguated ID Type / Status
Subject Xiangyu Zhang E367296 entity
Predicate knownFor P22 FINISHED
Object ResNeXt architecture E367297 NE FINISHED

Disambiguation candidates (1 decision)

The exact options the model was shown at each disambiguation step, with the option it chose highlighted — the evidence behind this triple's disambiguated ids.

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ResNeXt architecture
Context triple: [Xiangyu Zhang, knownFor, ResNeXt architecture]
  • A. ResNeXt chosen
    ResNeXt is a deep convolutional neural network architecture that extends ResNet by using grouped convolutions and a split-transform-merge strategy to improve accuracy and efficiency in image recognition tasks.
  • B. 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.
  • C. NASNet
    NASNet is a family of convolutional neural network architectures automatically discovered via neural architecture search, known for achieving state-of-the-art performance on image classification benchmarks.
  • D. Reformer architecture
    The Reformer architecture is a neural network model that improves Transformer efficiency by using locality-sensitive hashing attention and reversible layers to greatly reduce memory and computational costs.
  • E. MobileNetV2
    MobileNetV2 is a lightweight convolutional neural network architecture designed for efficient image classification on resource-constrained devices, widely used in computer vision applications and available in libraries like torchvision.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

Stage Batch ID Job type Status
creating batch_69d85a1483788190ad93c2748e8af34b elicitation completed
NER batch_69e03e4607408190ab281a7f7a8012d3 ner completed
NED1 batch_69ff0b4a181c8190bffc1ac1a86e215d ned_source_triple completed
Created at: April 10, 2026, 3:18 a.m.