Triple

T16595323
Position Surface form Disambiguated ID Type / Status
Subject Yao Wenyuan E403189 entity
Predicate father P120 FINISHED
Object Yao Pengzi
Yao Pengzi is the child of Yao Wenyuan, a prominent member of China’s radical Gang of Four during the Cultural Revolution.
E1225531 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: Yao Pengzi | Statement: [Yao Wenyuan, father, Yao Pengzi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yao Pengzi
Context triple: [Yao Wenyuan, father, Yao Pengzi]
  • A. Yao Yecheng
    Yao Yecheng was the adoptive mother of Chiang Wei-kuo, the son of Chinese Nationalist leader Chiang Kai-shek.
  • B. Jin Yunpeng
    Jin Yunpeng was an early 20th-century Chinese military and political figure who twice served as premier during the turbulent warlord era of the Republic of China.
  • C. Xiong Yi
    Xiong Yi was the legendary early ruler credited with establishing the ancient Chinese state of Chu during the Zhou dynasty.
  • D. Lin Yipeng
    Lin Yipeng is the birth name of Justin Lin, a Taiwanese-American film director best known for his work on the Fast & Furious franchise.
  • E. Peng Sanyuan
    Peng Sanyuan is a Chinese film and television director and screenwriter best known for socially conscious dramas such as the film "Lost and Love."
  • 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: Yao Pengzi
Triple: [Yao Wenyuan, father, Yao Pengzi]
Generated description
Yao Pengzi is the child of Yao Wenyuan, a prominent member of China’s radical Gang of Four during the Cultural Revolution.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yao Pengzi
Target entity description: Yao Pengzi is the child of Yao Wenyuan, a prominent member of China’s radical Gang of Four during the Cultural Revolution.
  • A. Yao Yecheng
    Yao Yecheng was the adoptive mother of Chiang Wei-kuo, the son of Chinese Nationalist leader Chiang Kai-shek.
  • B. Jin Yunpeng
    Jin Yunpeng was an early 20th-century Chinese military and political figure who twice served as premier during the turbulent warlord era of the Republic of China.
  • C. Xiong Yi
    Xiong Yi was the legendary early ruler credited with establishing the ancient Chinese state of Chu during the Zhou dynasty.
  • D. Lin Yipeng
    Lin Yipeng is the birth name of Justin Lin, a Taiwanese-American film director best known for his work on the Fast & Furious franchise.
  • E. Peng Sanyuan
    Peng Sanyuan is a Chinese film and television director and screenwriter best known for socially conscious dramas such as the film "Lost and Love."
  • 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_69d883880d0c81908b5fcd454e767b60 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e35d717604819083ed60b865bbd13e completed April 18, 2026, 10:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0084b233ac8190b3f1ab82a47110d4 completed May 10, 2026, 1:14 p.m.
NEDg Description generation batch_6a0085c047f081908d7aa4b8ae5194b9 completed May 10, 2026, 1:18 p.m.
NED2 Entity disambiguation (via description) batch_6a00863e69548190bb8508428c139e05 completed May 10, 2026, 1:21 p.m.
Created at: April 10, 2026, 5:16 a.m.