Triple

T16138685
Position Surface form Disambiguated ID Type / Status
Subject Tongzhi Emperor E391595 entity
Predicate templeName P44027 FINISHED
Object Muzong
Muzong is the temple name of the Tongzhi Emperor, a Qing dynasty ruler who reigned briefly in the late 19th century during a period of internal rebellion and external pressure on China.
 E1197596 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: Muzong | Statement: [Tongzhi Emperor, templeName, Muzong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Muzong
Context triple: [Tongzhi Emperor, templeName, Muzong]
  • A. Muzong
    Muzong is the temple name of the Longqing Emperor, a Ming dynasty ruler of China who reigned from 1567 to 1572.
  • B. Ronglu
    Ronglu was a high-ranking Qing dynasty general and statesman who played a key role in military and political affairs during the late imperial period, including the Boxer Rebellion.
  • C. Wenzhong
    Wenzhong is the posthumous honorific title granted to the eminent Song dynasty scholar-official, historian, and poet Ouyang Xiu.
  • D. Chongde
    Chongde was the era name used by Qing dynasty ruler Hong Taiji for the final years of his reign in the early 17th century.
  • E. Zhizhong
    Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary 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: Muzong
Triple: [Tongzhi Emperor, templeName, Muzong]
Generated description
Muzong is the temple name of the Tongzhi Emperor, a Qing dynasty ruler who reigned briefly in the late 19th century during a period of internal rebellion and external pressure on China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Muzong
Target entity description: Muzong is the temple name of the Tongzhi Emperor, a Qing dynasty ruler who reigned briefly in the late 19th century during a period of internal rebellion and external pressure on China.
  • A. Muzong
    Muzong is the temple name of the Longqing Emperor, a Ming dynasty ruler of China who reigned from 1567 to 1572.
  • B. Ronglu
    Ronglu was a high-ranking Qing dynasty general and statesman who played a key role in military and political affairs during the late imperial period, including the Boxer Rebellion.
  • C. Wenzhong
    Wenzhong is the posthumous honorific title granted to the eminent Song dynasty scholar-official, historian, and poet Ouyang Xiu.
  • D. Chongde
    Chongde was the era name used by Qing dynasty ruler Hong Taiji for the final years of his reign in the early 17th century.
  • E. Zhizhong
    Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21a06e0988190b5cd62d422d058a2 completed April 17, 2026, 11:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7a304348190bf471f2b9279b806 completed May 10, 2026, 3:12 a.m.
NEDg Description generation batch_69fff8de647481908e820b0e14bc7b76 completed May 10, 2026, 3:17 a.m.
NED2 Entity disambiguation (via description) batch_69fff94cd32081908205ae383e58d148 completed May 10, 2026, 3:19 a.m.
Created at: April 10, 2026, 5:01 a.m.