Triple

T3551829
Position Surface form Disambiguated ID Type / Status
Subject Hongzhi Emperor E75127 entity
Predicate templeName P44027 FINISHED
Object Xiaozong
Xiaozong is the temple name of the Hongzhi Emperor, a Ming dynasty ruler noted for his relatively peaceful and reform-minded reign in late 15th-century China.
E369635 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: Xiaozong | Statement: [Hongzhi Emperor, templeName, Xiaozong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xiaozong
Context triple: [Hongzhi Emperor, templeName, Xiaozong]
  • A. Zhenyuan
    Zhenyuan was a late 19th-century Chinese ironclad battleship of the Beiyang Fleet that played a prominent role in the First Sino-Japanese War.
  • B. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • C. Zhu
    Zhu is a common Chinese surname borne by many notable historical and contemporary figures in China.
  • D. Chan zong
    Chan zong is a major school of Chinese Buddhism emphasizing meditation and direct insight into one’s true nature, known in Japan as Zen.
  • E. Xiang
    Xiang is the standard abbreviation and common short name used to refer to China’s Hunan Province.
  • 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: Xiaozong
Triple: [Hongzhi Emperor, templeName, Xiaozong]
Generated description
Xiaozong is the temple name of the Hongzhi Emperor, a Ming dynasty ruler noted for his relatively peaceful and reform-minded reign in late 15th-century China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Xiaozong
Target entity description: Xiaozong is the temple name of the Hongzhi Emperor, a Ming dynasty ruler noted for his relatively peaceful and reform-minded reign in late 15th-century China.
  • A. Zhenyuan
    Zhenyuan was a late 19th-century Chinese ironclad battleship of the Beiyang Fleet that played a prominent role in the First Sino-Japanese War.
  • B. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • C. Zhu
    Zhu is a common Chinese surname borne by many notable historical and contemporary figures in China.
  • D. Chan zong
    Chan zong is a major school of Chinese Buddhism emphasizing meditation and direct insight into one’s true nature, known in Japan as Zen.
  • E. Xiang
    Xiang is the standard abbreviation and common short name used to refer to China’s Hunan Province.
  • 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_69ad85d33c6c819081d5ac1df13b5680 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc05256f081908b8d6a5df917e679 completed March 8, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bb9218448190ae432ae74c0a6916 completed March 13, 2026, 7:24 a.m.
NEDg Description generation batch_69b3bcba5e90819082ae70ba5c1b8ceb completed March 13, 2026, 7:28 a.m.
NED2 Entity disambiguation (via description) batch_69b3f5a60fa08190acbb7257b515369a completed March 13, 2026, 11:31 a.m.
Created at: March 8, 2026, 3:20 p.m.