Triple

T15532273
Position Surface form Disambiguated ID Type / Status
Subject Shaoqing Ren E370248 entity
Predicate coDeveloperOf P6901 FINISHED
Object Faster R-CNN architecture E431008 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: Faster R-CNN architecture
Context triple: [Shaoqing Ren, coDeveloperOf, Faster R-CNN architecture]
  • A. R-CNN
    R-CNN is a pioneering deep learning framework for object detection that combines region proposals with convolutional neural networks to accurately localize and classify objects in images.
  • B. FasterRCNN chosen
    FasterRCNN is a popular two-stage object detection architecture that first proposes candidate regions and then classifies and refines bounding boxes, widely used in computer vision tasks.
  • C. RCNN
    RCNN is the ICAO airport code assigned to Tainan Airport in Tainan, Taiwan.
  • D. RetinaNet
    RetinaNet is a deep learning–based one-stage object detection model known for its focal loss function, which effectively addresses class imbalance to achieve high accuracy and speed.
  • E. MaskRCNN
    MaskRCNN is a deep learning model architecture for instance segmentation that extends Faster R-CNN by adding a branch to predict segmentation masks for individual objects in an image.
  • 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_69d85cc521a08190921fb50319dddc34 elicitation completed
NER batch_69e0414877d88190804ee76566004e13 ner completed
NED1 batch_69ff4c39ffbc819089cea285e8145fa4 ned_source_triple completed
Created at: April 10, 2026, 4:06 a.m.