Triple

T8533830
Position Surface form Disambiguated ID Type / Status
Subject Kangxi E202022 entity
Predicate templeName P44027 FINISHED
Object Shengzu
Shengzu is the temple name of the Kangxi Emperor, one of the longest-reigning and most influential rulers of China’s Qing dynasty.
 E746000 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: Shengzu | Statement: [Kangxi, templeName, Shengzu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shengzu
Context triple: [Kangxi, templeName, Shengzu]
  • A. Xianzu
    Xianzu is the given name of Tang Xianzu, the renowned Ming dynasty Chinese playwright best known for his romantic drama "The Peony Pavilion."
  • B. Shengzhi
    Shengzhi is the given name of Tang Shengzhi, a prominent Chinese Nationalist general active during the early 20th century.
  • C. Lingzong
    Lingzong is the posthumous temple name of Emperor Ling of Han, a late Eastern Han dynasty ruler whose troubled reign is associated with political corruption and the empire’s decline.
  • D. 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.
  • E. Sheng
    Sheng is the primary male role type in traditional Chinese Peking opera, typically portraying dignified scholars, officials, and heroic figures.
  • 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: Shengzu
Triple: [Kangxi, templeName, Shengzu]
Generated description
Shengzu is the temple name of the Kangxi Emperor, one of the longest-reigning and most influential rulers of China’s Qing dynasty.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shengzu
Target entity description: Shengzu is the temple name of the Kangxi Emperor, one of the longest-reigning and most influential rulers of China’s Qing dynasty.
  • A. Xianzu
    Xianzu is the given name of Tang Xianzu, the renowned Ming dynasty Chinese playwright best known for his romantic drama "The Peony Pavilion."
  • B. Shengzhi
    Shengzhi is the given name of Tang Shengzhi, a prominent Chinese Nationalist general active during the early 20th century.
  • C. Lingzong
    Lingzong is the posthumous temple name of Emperor Ling of Han, a late Eastern Han dynasty ruler whose troubled reign is associated with political corruption and the empire’s decline.
  • D. 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.
  • E. Sheng
    Sheng is the primary male role type in traditional Chinese Peking opera, typically portraying dignified scholars, officials, and heroic figures.
  • 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_69ca832355b08190b8b6a4ab4a4a3554 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe6a0ccd4819097b41d0dfb1c5018 completed March 31, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea854e8c881909c62b29d999edde8 completed April 2, 2026, 5:33 p.m.
NEDg Description generation batch_69cea996a5c48190a12ffe8e282d2d9c completed April 2, 2026, 5:38 p.m.
NED2 Entity disambiguation (via description) batch_69ceadb2d52c8190aada1d797753663e completed April 2, 2026, 5:56 p.m.
Created at: March 30, 2026, 6:17 p.m.