Triple

T3542953
Position Surface form Disambiguated ID Type / Status
Subject ResNet E74928 entity
Predicate developedBy P73 FINISHED
Object Jian Sun
Jian Sun is a Chinese computer vision researcher known for his influential work in deep learning and as a co-author of the seminal ResNet architecture.
 E370862 NE FINISHED

How this triple was built (4 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: Jian Sun | Statement: [ResNet, developedBy, Jian Sun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jian Sun
Context triple: [ResNet, developedBy, Jian Sun]
  • A. 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.
  • B. Xiaodong Chen
    Xiaodong Chen is a prominent materials scientist and nanotechnology researcher who serves as editor-in-chief of the journal ACS Nano.
  • C. Shaobo Qin
    Shaobo Qin is a Chinese acrobat and actor best known for playing the agile explosives expert Yen in the Ocean's film series.
  • D. Xindong Wu
    Xindong Wu is a prominent computer scientist known for his influential contributions to data mining and knowledge discovery research.
  • E. Wei Liu
    Wei Liu is a computer scientist and researcher known for his contributions to deep learning and computer vision, including influential work on object detection.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Jian Sun
Triple: [ResNet, developedBy, Jian Sun]
Generated description
Jian Sun is a Chinese computer vision researcher known for his influential work in deep learning and as a co-author of the seminal ResNet architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jian Sun
Target entity description: Jian Sun is a Chinese computer vision researcher known for his influential work in deep learning and as a co-author of the seminal ResNet architecture.
  • A. 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.
  • B. Xiaodong Chen
    Xiaodong Chen is a prominent materials scientist and nanotechnology researcher who serves as editor-in-chief of the journal ACS Nano.
  • C. Shaobo Qin
    Shaobo Qin is a Chinese acrobat and actor best known for playing the agile explosives expert Yen in the Ocean's film series.
  • D. Xindong Wu
    Xindong Wu is a prominent computer scientist known for his influential contributions to data mining and knowledge discovery research.
  • E. Wei Liu
    Wei Liu is a computer scientist and researcher known for his contributions to deep learning and computer vision, including influential work on object detection.
  • F. None of above. chosen

Provenance (5 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_69ad85d274cc8190ab59c97298a1cfbf completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbf752dd481909226044ffe595338 completed March 8, 2026, 6:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b402dbd7d08190b7b220aa8c7caac6 completed March 13, 2026, 12:28 p.m.
NEDg Description generation batch_69b4036178ec8190a70cd5dc75f9f389 completed March 13, 2026, 12:30 p.m.
NED2 Entity disambiguation (via description) batch_69b4086ab034819086c5fa7d4b172d75 completed March 13, 2026, 12:51 p.m.
Created at: March 8, 2026, 3:20 p.m.