Triple

T18205033
Position Surface form Disambiguated ID Type / Status
Subject LayoutLM E435880 entity
Predicate hasAuthor P4244 FINISHED
Object Yiheng Xu
Yiheng Xu is a researcher in natural language processing and document understanding, known for co-developing the LayoutLM model for visually-rich document analysis.
E1326081 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: Yiheng Xu | Statement: [LayoutLM, hasAuthor, Yiheng Xu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yiheng Xu
Context triple: [LayoutLM, hasAuthor, Yiheng Xu]
  • A. Yuxin Peng
    Yuxin Peng is a computer vision and machine learning researcher known for coauthoring influential papers alongside leading figures such as Shaoqing Ren.
  • B. Xiangyu Zhang
    Xiangyu Zhang is a computer vision and deep learning researcher known for his contributions to convolutional neural network architectures and large-scale visual recognition.
  • C. 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.
  • D. Tingye Li
    Tingye Li was a pioneering Chinese-American optical engineer and physicist renowned for his foundational contributions to laser and fiber-optic communications.
  • E. Yunxiang Yan
    Yunxiang Yan is a prominent anthropologist and scholar of contemporary Chinese society, known for his influential ethnographic studies on rural China, family life, and social change.
  • 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: Yiheng Xu
Triple: [LayoutLM, hasAuthor, Yiheng Xu]
Generated description
Yiheng Xu is a researcher in natural language processing and document understanding, known for co-developing the LayoutLM model for visually-rich document analysis.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yiheng Xu
Target entity description: Yiheng Xu is a researcher in natural language processing and document understanding, known for co-developing the LayoutLM model for visually-rich document analysis.
  • A. Yuxin Peng
    Yuxin Peng is a computer vision and machine learning researcher known for coauthoring influential papers alongside leading figures such as Shaoqing Ren.
  • B. Xiangyu Zhang
    Xiangyu Zhang is a computer vision and deep learning researcher known for his contributions to convolutional neural network architectures and large-scale visual recognition.
  • C. 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.
  • D. Tingye Li
    Tingye Li was a pioneering Chinese-American optical engineer and physicist renowned for his foundational contributions to laser and fiber-optic communications.
  • E. Yunxiang Yan
    Yunxiang Yan is a prominent anthropologist and scholar of contemporary Chinese society, known for his influential ethnographic studies on rural China, family life, and social change.
  • 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_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e222831081908f7d5500424e3acb completed April 19, 2026, 2:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a043f126c9881908d7fae71fe125164 completed May 13, 2026, 9:06 a.m.
NEDg Description generation batch_6a04403450f88190b4461502afdde13f completed May 13, 2026, 9:11 a.m.
NED2 Entity disambiguation (via description) batch_6a044095d4b48190aeb30ecb37609da3 completed May 13, 2026, 9:12 a.m.
Created at: April 10, 2026, 10:32 a.m.