Triple

T16731468
Position Surface form Disambiguated ID Type / Status
Subject Siku Quanshu E406601 entity
Predicate chiefEditor P19440 FINISHED
Object Ji Yun
Ji Yun was an influential Qing dynasty scholar-official, writer, and bibliophile best known for overseeing major literary projects and contributing to classical Chinese scholarship and prose.
E1230224 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: Ji Yun | Statement: [Siku Quanshu, chiefEditor, Ji Yun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ji Yun
Context triple: [Siku Quanshu, chiefEditor, Ji Yun]
  • A. Jing Tian
    Jing Tian is a Chinese actress known for her roles in both Chinese cinema and Hollywood blockbusters such as "Pacific Rim: Uprising" and "The Great Wall."
  • B. Li Yue
    Li Yue was a Tang dynasty imperial prince, known primarily as a son of Emperor Xianzong of Tang.
  • C. Xue Jiye
    Xue Jiye is a notable individual who bears the Chinese surname Xue, recognized as one of its distinguished carriers.
  • D. Dong Yun
    Dong Yun was a prominent Shu Han statesman of the Three Kingdoms period, known for his integrity and influence as a close advisor to Emperor Liu Shan.
  • E. Li Yun
    Li Yun was a Tang dynasty imperial prince, known primarily as a son of Emperor Xianzong of Tang.
  • 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: Ji Yun
Triple: [Siku Quanshu, chiefEditor, Ji Yun]
Generated description
Ji Yun was an influential Qing dynasty scholar-official, writer, and bibliophile best known for overseeing major literary projects and contributing to classical Chinese scholarship and prose.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ji Yun
Target entity description: Ji Yun was an influential Qing dynasty scholar-official, writer, and bibliophile best known for overseeing major literary projects and contributing to classical Chinese scholarship and prose.
  • A. Jing Tian
    Jing Tian is a Chinese actress known for her roles in both Chinese cinema and Hollywood blockbusters such as "Pacific Rim: Uprising" and "The Great Wall."
  • B. Li Yue
    Li Yue was a Tang dynasty imperial prince, known primarily as a son of Emperor Xianzong of Tang.
  • C. Xue Jiye
    Xue Jiye is a notable individual who bears the Chinese surname Xue, recognized as one of its distinguished carriers.
  • D. Dong Yun
    Dong Yun was a prominent Shu Han statesman of the Three Kingdoms period, known for his integrity and influence as a close advisor to Emperor Liu Shan.
  • E. Li Yun
    Li Yun was a Tang dynasty imperial prince, known primarily as a son of Emperor Xianzong of Tang.
  • 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_69d8838f242881908abd8bc138795886 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e39c362bb88190921fab43d76c3ee8 completed April 18, 2026, 2:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d4a94688190aabe56c34e8cc2c3 completed May 10, 2026, 2:59 p.m.
NEDg Description generation batch_6a009dd925308190a82c6ef014b37333 completed May 10, 2026, 3:01 p.m.
NED2 Entity disambiguation (via description) batch_6a009e9b9874819084060408cdc44d0b completed May 10, 2026, 3:04 p.m.
Created at: April 10, 2026, 5:20 a.m.