Triple

T8530146
Position Surface form Disambiguated ID Type / Status
Subject Deng Ai E201923 entity
Predicate courtesyName P570 FINISHED
Object Zhongru
Zhongru was the courtesy name of Deng Ai, a prominent late Three Kingdoms–era general of the state of Cao Wei known for his pivotal role in the conquest of Shu Han.
 E743142 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: Zhongru | Statement: [Deng Ai, courtesyName, Zhongru]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zhongru
Context triple: [Deng Ai, courtesyName, Zhongru]
  • A. Zhong
    Zhong is a traditional Chinese bell-like percussion instrument used in ancient ritual and court music.
  • B. Yuanzhong
    Yuanzhong was the courtesy name of Cao Rui, the second emperor of the state of Cao Wei during China’s Three Kingdoms period.
  • C. Yizhu
    Yizhu was the personal name of the Xianfeng Emperor, a Qing dynasty ruler of China in the mid-19th century.
  • D. Zizhan
    Zizhan is the courtesy name of Su Shi, the renowned Song dynasty Chinese poet, calligrapher, and statesman also known as Su Dongpo.
  • E. Xianzu
    Xianzu is the given name of Tang Xianzu, the renowned Ming dynasty Chinese playwright best known for his romantic drama "The Peony Pavilion."
  • 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: Zhongru
Triple: [Deng Ai, courtesyName, Zhongru]
Generated description
Zhongru was the courtesy name of Deng Ai, a prominent late Three Kingdoms–era general of the state of Cao Wei known for his pivotal role in the conquest of Shu Han.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zhongru
Target entity description: Zhongru was the courtesy name of Deng Ai, a prominent late Three Kingdoms–era general of the state of Cao Wei known for his pivotal role in the conquest of Shu Han.
  • A. Zhong
    Zhong is a traditional Chinese bell-like percussion instrument used in ancient ritual and court music.
  • B. Yuanzhong
    Yuanzhong was the courtesy name of Cao Rui, the second emperor of the state of Cao Wei during China’s Three Kingdoms period.
  • C. Yizhu
    Yizhu was the personal name of the Xianfeng Emperor, a Qing dynasty ruler of China in the mid-19th century.
  • D. Zizhan
    Zizhan is the courtesy name of Su Shi, the renowned Song dynasty Chinese poet, calligrapher, and statesman also known as Su Dongpo.
  • E. Xianzu
    Xianzu is the given name of Tang Xianzu, the renowned Ming dynasty Chinese playwright best known for his romantic drama "The Peony Pavilion."
  • 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_69ca83228b24819085d22e7dc99f5d94 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe67409f08190b20d13d26e9a362c completed March 31, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce890333d08190b510d970e6d6fee5 completed April 2, 2026, 3:19 p.m.
NEDg Description generation batch_69ce8a9ba0448190ae7637f24b8a8032 completed April 2, 2026, 3:26 p.m.
NED2 Entity disambiguation (via description) batch_69ce8bda33548190a8f6985a48d65a39 completed April 2, 2026, 3:31 p.m.
Created at: March 30, 2026, 6:17 p.m.