Triple

T2312196
Position Surface form Disambiguated ID Type / Status
Subject Confucius E51982 entity
Predicate mother P120 FINISHED
Object Yan Zhengzai
Yan Zhengzai was the mother of the Chinese philosopher Confucius, traditionally regarded as a virtuous and devoted figure in early Confucian lore.
E296459 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: Yan Zhengzai | Statement: [Confucius, mother, Yan Zhengzai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yan Zhengzai
Context triple: [Confucius, mother, Yan Zhengzai]
  • A. Ye Zhengxian
    Ye Zhengxian is known primarily as a child of the prominent Chinese military leader Ye Ting.
  • B. Zhang Wenqi
    Zhang Wenqi is a Chinese basketball player best known for having played professionally for the Shanghai Sharks in the Chinese Basketball Association.
  • C. Ye Zhengrong
    Ye Zhengrong is one of the children of the prominent Chinese military leader and politician Ye Ting.
  • D. Chen Zhanxiang
    Chen Zhanxiang was a Chinese architect best known for co-designing Beijing’s Monument to the People’s Heroes in Tiananmen Square.
  • E. Zhang Ding
    Zhang Ding was a prominent Chinese artist and designer best known for creating iconic national symbols of the People’s Republic of 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: Yan Zhengzai
Triple: [Confucius, mother, Yan Zhengzai]
Generated description
Yan Zhengzai was the mother of the Chinese philosopher Confucius, traditionally regarded as a virtuous and devoted figure in early Confucian lore.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yan Zhengzai
Target entity description: Yan Zhengzai was the mother of the Chinese philosopher Confucius, traditionally regarded as a virtuous and devoted figure in early Confucian lore.
  • A. Ye Zhengxian
    Ye Zhengxian is known primarily as a child of the prominent Chinese military leader Ye Ting.
  • B. Zhang Wenqi
    Zhang Wenqi is a Chinese basketball player best known for having played professionally for the Shanghai Sharks in the Chinese Basketball Association.
  • C. Ye Zhengrong
    Ye Zhengrong is one of the children of the prominent Chinese military leader and politician Ye Ting.
  • D. Chen Zhanxiang
    Chen Zhanxiang was a Chinese architect best known for co-designing Beijing’s Monument to the People’s Heroes in Tiananmen Square.
  • E. Zhang Ding
    Zhang Ding was a prominent Chinese artist and designer best known for creating iconic national symbols of the People’s Republic of 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_69a88b0bb30c81908ded03b006d29387 completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc61a8e248190b5024cca9efd806d completed March 7, 2026, 6:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc01a30608190839f9e11db0f7def completed March 10, 2026, 6:54 a.m.
NEDg Description generation batch_69afc0b6368081908e2520ac6680a409 completed March 10, 2026, 6:56 a.m.
NED2 Entity disambiguation (via description) batch_69afc145e61881908c0eeae455b02a78 completed March 10, 2026, 6:59 a.m.
Created at: March 4, 2026, 7:49 p.m.