Triple

T15624201
Position Surface form Disambiguated ID Type / Status
Subject Ye Wenjie E375638 entity
Predicate givenName P17 FINISHED
Object Wenjie
Wenjie is a given name most notably associated with Ye Wenjie, a pivotal astrophysicist character in Liu Cixin’s science fiction novel "The Three-Body Problem."
 E1167716 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: Wenjie | Statement: [Ye Wenjie, givenName, Wenjie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wenjie
Context triple: [Ye Wenjie, givenName, Wenjie]
  • A. Jingyu
    Jingyu is a Chinese given name that can be used for people of any gender and carries various meanings depending on the characters used to write it.
  • B. Xuwen
    Xuwen is a coastal county in Guangdong Province, China, known as a key mainland gateway and port facing Hainan Island across the Qiongzhou Strait.
  • C. Shaoqi
    Shaoqi is the given name of Liu Shaoqi, a prominent Chinese revolutionary leader and former President of the People’s Republic of China.
  • D. Jianying
    Jianying is the given name of Ye Jianying, a prominent Chinese Communist military leader and one of the founding marshals of the People's Republic of China.
  • E. Xingqing
    Xingqing was the principal city and political center of the Tangut-led Western Xia dynasty in northwestern China.
  • 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: Wenjie
Triple: [Ye Wenjie, givenName, Wenjie]
Generated description
Wenjie is a given name most notably associated with Ye Wenjie, a pivotal astrophysicist character in Liu Cixin’s science fiction novel "The Three-Body Problem."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wenjie
Target entity description: Wenjie is a given name most notably associated with Ye Wenjie, a pivotal astrophysicist character in Liu Cixin’s science fiction novel "The Three-Body Problem."
  • A. Jingyu
    Jingyu is a Chinese given name that can be used for people of any gender and carries various meanings depending on the characters used to write it.
  • B. Xuwen
    Xuwen is a coastal county in Guangdong Province, China, known as a key mainland gateway and port facing Hainan Island across the Qiongzhou Strait.
  • C. Shaoqi
    Shaoqi is the given name of Liu Shaoqi, a prominent Chinese revolutionary leader and former President of the People’s Republic of China.
  • D. Jianying
    Jianying is the given name of Ye Jianying, a prominent Chinese Communist military leader and one of the founding marshals of the People's Republic of China.
  • E. Xingqing
    Xingqing was the principal city and political center of the Tangut-led Western Xia dynasty in northwestern China.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e9cfd94819091459aa17a002eaf completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f3f65dc8190ac94db1d4d53d77f completed May 9, 2026, 4:22 p.m.
NEDg Description generation batch_69ff60188df48190a1cc891757a795d0 completed May 9, 2026, 4:26 p.m.
NED2 Entity disambiguation (via description) batch_69ff60938ef081908cd88cf8242bc785 completed May 9, 2026, 4:28 p.m.
Created at: April 10, 2026, 4:14 a.m.