Triple

T5978570
Position Surface form Disambiguated ID Type / Status
Subject Wang Shu E133061 entity
Predicate spouse P13 FINISHED
Object Lu Wenyu
Lu Wenyu is a Chinese architect and co-founder of Amateur Architecture Studio, known for her collaborative work with her husband, Pritzker Prize laureate Wang Shu.
E584030 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: Lu Wenyu | Statement: [Wang Shu, spouse, Lu Wenyu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lu Wenyu
Context triple: [Wang Shu, spouse, Lu Wenyu]
  • A. Li Shuxian
    Li Shuxian was the last wife of Puyi, the final emperor of China, and lived a largely private life after the fall of the Qing dynasty.
  • B. Li Xiuwen
    Li Xiuwen was the wife of Chinese military leader and revolutionary Ye Ting.
  • C. Zhu Yawen
    Zhu Yawen is a Chinese actor known for his roles in film and television dramas, particularly in military and historical series.
  • D. Wu Jingyu
    Wu Jingyu is a Chinese taekwondo athlete and multiple-time Olympic gold medalist renowned as one of the sport’s most successful competitors.
  • E. Li Jiayu
    Li Jiayu was a Chinese military officer and general associated with the National Revolutionary Army during the Republican era.
  • 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: Lu Wenyu
Triple: [Wang Shu, spouse, Lu Wenyu]
Generated description
Lu Wenyu is a Chinese architect and co-founder of Amateur Architecture Studio, known for her collaborative work with her husband, Pritzker Prize laureate Wang Shu.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lu Wenyu
Target entity description: Lu Wenyu is a Chinese architect and co-founder of Amateur Architecture Studio, known for her collaborative work with her husband, Pritzker Prize laureate Wang Shu.
  • A. Li Shuxian
    Li Shuxian was the last wife of Puyi, the final emperor of China, and lived a largely private life after the fall of the Qing dynasty.
  • B. Li Xiuwen
    Li Xiuwen was the wife of Chinese military leader and revolutionary Ye Ting.
  • C. Zhu Yawen
    Zhu Yawen is a Chinese actor known for his roles in film and television dramas, particularly in military and historical series.
  • D. Wu Jingyu
    Wu Jingyu is a Chinese taekwondo athlete and multiple-time Olympic gold medalist renowned as one of the sport’s most successful competitors.
  • E. Li Jiayu
    Li Jiayu was a Chinese military officer and general associated with the National Revolutionary Army during the Republican era.
  • 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_69c0086f45e8819098f73dd16d45ec9d completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04a3e686c81908910c0881ac1624d completed March 22, 2026, 7:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e3a5d54c8190b2bc8b3291f8ac2f completed March 27, 2026, 1:55 a.m.
NEDg Description generation batch_69c5ea0b6fc48190873a9db630f78f24 completed March 27, 2026, 2:23 a.m.
NED2 Entity disambiguation (via description) batch_69c5ea9f8b0081908f950d490c3098de completed March 27, 2026, 2:25 a.m.
Created at: March 22, 2026, 4:04 p.m.