Triple

T8148109
Position Surface form Disambiguated ID Type / Status
Subject Sima Yi E190263 entity
Predicate posthumousName P744 FINISHED
Object Xuan
Xuan is the posthumous honorific title given to the influential Cao Wei general and statesman Sima Yi, who played a key role in the Three Kingdoms period of Chinese history.
 E719814 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: Xuan | Statement: [Sima Yi, posthumousName, Xuan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Xuan
Context triple: [Sima Yi, posthumousName, Xuan]
  • A. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • B. Xuanhu
    Xuanhu is the art name of Xu Guangqi, a prominent late Ming dynasty scholar-official, scientist, and collaborator of Matteo Ricci in introducing Western science to China.
  • C. Xue
    Xue is a Chinese surname borne by various notable historical and contemporary figures.
  • D. Xuanhe
    Xuanhe was an era name used during the reign of Emperor Huizong of the Song dynasty, marking a specific period in early 12th-century Chinese imperial history.
  • E. Yuanzhen
    Yuanzhen was the Chinese era name used during the reign of Temür Khan, the second emperor of the Yuan dynasty.
  • 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: Xuan
Triple: [Sima Yi, posthumousName, Xuan]
Generated description
Xuan is the posthumous honorific title given to the influential Cao Wei general and statesman Sima Yi, who played a key role in the Three Kingdoms period of Chinese history.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Xuan
Target entity description: Xuan is the posthumous honorific title given to the influential Cao Wei general and statesman Sima Yi, who played a key role in the Three Kingdoms period of Chinese history.
  • A. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • B. Xuanhu
    Xuanhu is the art name of Xu Guangqi, a prominent late Ming dynasty scholar-official, scientist, and collaborator of Matteo Ricci in introducing Western science to China.
  • C. Xue
    Xue is a Chinese surname borne by various notable historical and contemporary figures.
  • D. Xuanhe
    Xuanhe was an era name used during the reign of Emperor Huizong of the Song dynasty, marking a specific period in early 12th-century Chinese imperial history.
  • E. Yuanzhen
    Yuanzhen was the Chinese era name used during the reign of Temür Khan, the second emperor of the Yuan dynasty.
  • 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_69ca82be7ba8819087de0147e9292c83 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb447e74e081908df774edb2134209 completed March 31, 2026, 3:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69cced3839b4819081a811fcebc51ff7 completed April 1, 2026, 10:02 a.m.
NEDg Description generation batch_69ccf09a952c8190ace6a9f0012ad90a completed April 1, 2026, 10:16 a.m.
NED2 Entity disambiguation (via description) batch_69cd055292088190927046793cec1c36 completed April 1, 2026, 11:45 a.m.
Created at: March 30, 2026, 5:36 p.m.