Triple

T8949676
Position Surface form Disambiguated ID Type / Status
Subject Ma Xingrui E213312 entity
Predicate nativeName P15 FINISHED
Object 马兴瑞
马兴瑞 is a Chinese aerospace engineer and politician who has served in senior leadership roles including Governor of Guangdong Province and Communist Party Secretary of Xinjiang.
 E768323 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: 马兴瑞 | Statement: [Ma Xingrui, nativeName, 马兴瑞]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 马兴瑞
Context triple: [Ma Xingrui, nativeName, 马兴瑞]
  • A. 刘永清
    刘永清是一位中国女性公众人物，因其与中国前国家领导人胡锦涛的婚姻关系而广为人知。
  • B. Zhu Yunlai
    Zhu Yunlai is a Chinese banker and businessman, best known as the son of former Chinese premier Zhu Rongji and for his leadership roles in China’s financial sector.
  • C. Guo Shuqing
    Guo Shuqing is a prominent Chinese economist and senior financial regulator who has held key positions overseeing China’s banking and insurance sectors.
  • D. Peng Qinghua
    Peng Qinghua is a Chinese politician who has held prominent regional leadership roles, including serving as the Communist Party Secretary of Sichuan Province.
  • E. Kong Jinlei
    Kong Jinlei is an editor known for working on the publication or project titled "Platform."
  • 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: 马兴瑞
Triple: [Ma Xingrui, nativeName, 马兴瑞]
Generated description
马兴瑞 is a Chinese aerospace engineer and politician who has served in senior leadership roles including Governor of Guangdong Province and Communist Party Secretary of Xinjiang.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 马兴瑞
Target entity description: 马兴瑞 is a Chinese aerospace engineer and politician who has served in senior leadership roles including Governor of Guangdong Province and Communist Party Secretary of Xinjiang.
  • A. 刘永清
    刘永清是一位中国女性公众人物，因其与中国前国家领导人胡锦涛的婚姻关系而广为人知。
  • B. Zhu Yunlai
    Zhu Yunlai is a Chinese banker and businessman, best known as the son of former Chinese premier Zhu Rongji and for his leadership roles in China’s financial sector.
  • C. Guo Shuqing
    Guo Shuqing is a prominent Chinese economist and senior financial regulator who has held key positions overseeing China’s banking and insurance sectors.
  • D. Peng Qinghua
    Peng Qinghua is a Chinese politician who has held prominent regional leadership roles, including serving as the Communist Party Secretary of Sichuan Province.
  • E. Kong Jinlei
    Kong Jinlei is an editor known for working on the publication or project titled "Platform."
  • 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_69ca839843408190a39069a029a89f15 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc670b5f50819080f1c73992fe5281 completed April 1, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc206550c8190abf016f25b14fa64 completed April 3, 2026, 1:35 p.m.
NEDg Description generation batch_69cfc3f170a08190a2cab07eb280ee3b completed April 3, 2026, 1:43 p.m.
NED2 Entity disambiguation (via description) batch_69cfc476204481909f0baaf400483f33 completed April 3, 2026, 1:45 p.m.
Created at: March 30, 2026, 6:59 p.m.