Triple

T17111538
Position Surface form Disambiguated ID Type / Status
Subject Zengzi E415237 entity
Predicate courtesyName P570 FINISHED
Object Ziyu
Ziyu was the courtesy name of Zengzi, a prominent disciple of Confucius known for his filial piety and role in transmitting Confucian teachings.
 E1251110 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: Ziyu | Statement: [Zengzi, courtesyName, Ziyu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ziyu
Context triple: [Zengzi, courtesyName, Ziyu]
  • A. Jianwei
    Jianwei is a given name most notably borne by Pan Jianwei, a prominent Chinese quantum physicist recognized for his pioneering work in quantum communication and quantum computing.
  • B. Jinyu
    Jinyu is a major variety of the Jin group of Chinese dialects spoken primarily in northern China, especially in Shanxi and surrounding regions.
  • C. Zhihong
    Zhihong is a Chinese given name that represents an alternative romanization of the name Zhizhong.
  • D. Jiyun
    Jiyun is an 11th-century Chinese rime dictionary that systematically records and organizes the phonology and characters of Middle Chinese.
  • E. Jia-Ning
    Jia-Ning is one of the central daughters in Ang Lee’s film "Eat Drink Man Woman," whose personal and romantic struggles reflect the evolving dynamics of her traditional Taiwanese family.
  • 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: Ziyu
Triple: [Zengzi, courtesyName, Ziyu]
Generated description
Ziyu was the courtesy name of Zengzi, a prominent disciple of Confucius known for his filial piety and role in transmitting Confucian teachings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ziyu
Target entity description: Ziyu was the courtesy name of Zengzi, a prominent disciple of Confucius known for his filial piety and role in transmitting Confucian teachings.
  • A. Jianwei
    Jianwei is a given name most notably borne by Pan Jianwei, a prominent Chinese quantum physicist recognized for his pioneering work in quantum communication and quantum computing.
  • B. Jinyu
    Jinyu is a major variety of the Jin group of Chinese dialects spoken primarily in northern China, especially in Shanxi and surrounding regions.
  • C. Zhihong
    Zhihong is a Chinese given name that represents an alternative romanization of the name Zhizhong.
  • D. Jiyun
    Jiyun is an 11th-century Chinese rime dictionary that systematically records and organizes the phonology and characters of Middle Chinese.
  • E. Jia-Ning
    Jia-Ning is one of the central daughters in Ang Lee’s film "Eat Drink Man Woman," whose personal and romantic struggles reflect the evolving dynamics of her traditional Taiwanese family.
  • 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dc2bab0881908339ec7fb3ebe7e9 completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a013a062d7c81908fe8cdc9e4637168 completed May 11, 2026, 2:08 a.m.
NEDg Description generation batch_6a013a8e69388190b8d48d70a28e99bd completed May 11, 2026, 2:10 a.m.
NED2 Entity disambiguation (via description) batch_6a013b6824888190853cf36548507e1b completed May 11, 2026, 2:14 a.m.
Created at: April 10, 2026, 5:35 a.m.