Triple

T8681597
Position Surface form Disambiguated ID Type / Status
Subject Liu Yongqing E206050 entity
Predicate nativeName P15 FINISHED
Object 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。
E751165 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: 刘永清 | Statement: [Liu Yongqing, nativeName, 刘永清]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 刘永清
Context triple: [Liu Yongqing, nativeName, 刘永清]
  • A. Zeng Liqing
    Zeng Liqing is a Chinese entrepreneur best known as one of the co-founders of the technology and internet conglomerate Tencent.
  • B. Liu Jian
    Liu Jian was a prominent Ming dynasty statesman and grand secretary who played a key role in government during the reign of the Hongzhi Emperor.
  • C. Wu Qingyuan
    Wu Qingyuan, better known internationally as Go Seigen, was a Chinese-born Japanese Go master widely regarded as one of the greatest and most innovative players in the history of the game.
  • D. Qiu Qingquan
    Qiu Qingquan was a prominent Nationalist Chinese general best known for his major role in the Chinese Civil War, particularly during the late 1940s.
  • E. 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.
  • 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: 刘永清
Triple: [Liu Yongqing, nativeName, 刘永清]
Generated description
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。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 刘永清
Target entity description: 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。
  • A. Zeng Liqing
    Zeng Liqing is a Chinese entrepreneur best known as one of the co-founders of the technology and internet conglomerate Tencent.
  • B. Liu Jian
    Liu Jian was a prominent Ming dynasty statesman and grand secretary who played a key role in government during the reign of the Hongzhi Emperor.
  • C. Wu Qingyuan
    Wu Qingyuan, better known internationally as Go Seigen, was a Chinese-born Japanese Go master widely regarded as one of the greatest and most innovative players in the history of the game.
  • D. Qiu Qingquan
    Qiu Qingquan was a prominent Nationalist Chinese general best known for his major role in the Chinese Civil War, particularly during the late 1940s.
  • E. 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.
  • 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_69ca835379688190aa06b9d98e684d58 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4ae6d19c8190be003f7901c0468d completed March 31, 2026, 10:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef3b9fb848190b7126f8f6a1ba76f completed April 2, 2026, 10:54 p.m.
NEDg Description generation batch_69cef521010081908815779c0bd2aac9 completed April 2, 2026, 11 p.m.
NED2 Entity disambiguation (via description) batch_69cef727ea088190bf40eaf5424ae864 completed April 2, 2026, 11:09 p.m.
Created at: March 30, 2026, 6:32 p.m.