Triple

T5985471
Position Surface form Disambiguated ID Type / Status
Subject Guangxu Emperor E133214 entity
Predicate templeName P44027 FINISHED
Object Dezong
Dezong is the posthumous temple name of the Guangxu Emperor, a late Qing dynasty ruler of China.
 E560005 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: Dezong | Statement: [Guangxu Emperor, templeName, Dezong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dezong
Context triple: [Guangxu Emperor, templeName, Dezong]
  • A. Dezhi
    Dezhi is the courtesy name of the Xuande Emperor, a Ming dynasty ruler of China known for his relatively stable and prosperous reign in the early 15th century.
  • B. Daizong
    Daizong is the posthumous temple name of the Ming dynasty's Jingtai Emperor, used in ancestral rites and historical records.
  • C. Muzong
    Muzong is the temple name of the Longqing Emperor, a Ming dynasty ruler of China who reigned from 1567 to 1572.
  • D. Deyu
    Deyu is the courtesy name of the Hongguang Emperor, a short-lived Southern Ming ruler who attempted to restore the Ming dynasty after the fall of Beijing to the Qing.
  • E. Zhenjin
    Zhenjin was the designated heir and favored son of Kublai Khan, known for his Confucian education and role in the early Yuan dynasty’s administration before his premature death.
  • 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: Dezong
Triple: [Guangxu Emperor, templeName, Dezong]
Generated description
Dezong is the posthumous temple name of the Guangxu Emperor, a late Qing dynasty ruler of China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dezong
Target entity description: Dezong is the posthumous temple name of the Guangxu Emperor, a late Qing dynasty ruler of China.
  • A. Dezhi
    Dezhi is the courtesy name of the Xuande Emperor, a Ming dynasty ruler of China known for his relatively stable and prosperous reign in the early 15th century.
  • B. Daizong
    Daizong is the posthumous temple name of the Ming dynasty's Jingtai Emperor, used in ancestral rites and historical records.
  • C. Muzong
    Muzong is the temple name of the Longqing Emperor, a Ming dynasty ruler of China who reigned from 1567 to 1572.
  • D. Deyu
    Deyu is the courtesy name of the Hongguang Emperor, a short-lived Southern Ming ruler who attempted to restore the Ming dynasty after the fall of Beijing to the Qing.
  • E. Zhenjin
    Zhenjin was the designated heir and favored son of Kublai Khan, known for his Confucian education and role in the early Yuan dynasty’s administration before his premature death.
  • 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_69c0087010d081908bb8142342d63330 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04a6dcaf08190bac27c7042e65e07 completed March 22, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e42a0fcc8190ab8d7f797b58a8e0 completed March 23, 2026, 6:56 a.m.
NEDg Description generation batch_69c0f6e214748190a8e9452353853da4 completed March 23, 2026, 8:16 a.m.
NED2 Entity disambiguation (via description) batch_69c0f74c175c81909d4414ca34fa85dd completed March 23, 2026, 8:18 a.m.
Created at: March 22, 2026, 4:04 p.m.