Triple

T7947537
Position Surface form Disambiguated ID Type / Status
Subject Cao Pi E184533 entity
Predicate courtesyName P570 FINISHED
Object Zihuan
Zihuan is the courtesy name of Cao Pi, the first emperor of the state of Cao Wei during China’s Three Kingdoms period.
 E704534 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: Zihuan | Statement: [Cao Pi, courtesyName, Zihuan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zihuan
Context triple: [Cao Pi, courtesyName, Zihuan]
  • A. Shenwa
    Shenwa is a Zenati Berber language spoken by a small community in the Chenoua (Shenwa) region of northern Algeria.
  • B. Huan
    Huan is a given name most notably associated with the contemporary Chinese artist Zhang Huan, known for his performance and conceptual art.
  • C. Wazhazhe
    Wazhazhe is the self-designation of the Osage people, a Native American nation originally from the central United States.
  • D. Zhiyan
    Zhiyan was an influential Chinese Buddhist monk and early Huayan school patriarch whose teachings shaped the thought of later Korean monk Uisang.
  • E. Harku
    Harku is a small settlement in northern Estonia located within Harku Parish, near the capital city of Tallinn.
  • 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: Zihuan
Triple: [Cao Pi, courtesyName, Zihuan]
Generated description
Zihuan is the courtesy name of Cao Pi, the first emperor of the state of Cao Wei during China’s Three Kingdoms period.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zihuan
Target entity description: Zihuan is the courtesy name of Cao Pi, the first emperor of the state of Cao Wei during China’s Three Kingdoms period.
  • A. Shenwa
    Shenwa is a Zenati Berber language spoken by a small community in the Chenoua (Shenwa) region of northern Algeria.
  • B. Huan
    Huan is a given name most notably associated with the contemporary Chinese artist Zhang Huan, known for his performance and conceptual art.
  • C. Wazhazhe
    Wazhazhe is the self-designation of the Osage people, a Native American nation originally from the central United States.
  • D. Zhiyan
    Zhiyan was an influential Chinese Buddhist monk and early Huayan school patriarch whose teachings shaped the thought of later Korean monk Uisang.
  • E. Harku
    Harku is a small settlement in northern Estonia located within Harku Parish, near the capital city of Tallinn.
  • 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_69ca8291c2008190b1b8832c87814bcf completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b2abdbc819085ae53826d36af3b completed March 31, 2026, 3:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe02faa308190aeba83cc6cb96153 completed March 31, 2026, 2:54 p.m.
NEDg Description generation batch_69cbe4383d0c819085e7c95e7b0be16e completed March 31, 2026, 3:11 p.m.
NED2 Entity disambiguation (via description) batch_69cc34a83cec81908aba7afbaea53449 completed March 31, 2026, 8:55 p.m.
Created at: March 30, 2026, 5:09 p.m.