Triple

T18016447
Position Surface form Disambiguated ID Type / Status
Subject Faster R-CNN E431008 entity
Predicate proposedBy P32 FINISHED
Object Shaoqing Ren NE NERFINISHED

Named-entity recognition

Before disambiguation, gpt-5-mini classified whether the object phrase is a named entity — the step behind the object's NE type shown above.

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: Shaoqing Ren | Statement: [Faster R-CNN, proposedBy, Shaoqing Ren]

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: Shaoqing Ren
Context triple: [Faster R-CNN, proposedBy, Shaoqing Ren]
  • A. Shaoqing Ren chosen
    Shaoqing Ren is a Chinese computer vision researcher best known as a co-developer of deep learning architectures such as ResNet and Faster R-CNN that have significantly advanced image recognition and object detection.
  • B. Liqun Luo
    Liqun Luo is a prominent neuroscientist known for his work on neural circuit assembly and function, particularly using Drosophila and mouse models.
  • C. Zhen Luo
    Zhen Luo, better known as Empress Zhen of Wei, was a consort of Cao Pi and posthumous empress of the state of Cao Wei during China’s Three Kingdoms period.
  • D. Yuhuai Wu
    Yuhuai Wu is an AI researcher and entrepreneur known for his work on large language models and as a member of Elon Musk’s xAI team.
  • E. Saining Xie
    Saining Xie is a computer vision researcher known for his influential work on deep convolutional neural network architectures, including the ResNeXt model.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

Stage Batch ID Job type Status
creating batch_69d8b904530081908bf341d842464856 elicitation completed
NER batch_69e4b523f588819097389e067dda7f23 ner completed
Created at: April 10, 2026, 10:24 a.m.