Triple

T3596332
Position Surface form Disambiguated ID Type / Status
Subject Longqing Emperor E76148 entity
Predicate templeName P44027 FINISHED
Object Muzong
Muzong is the temple name of the Longqing Emperor, a Ming dynasty ruler of China who reigned from 1567 to 1572.
E372438 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: [Longqing Emperor, templeName, Muzong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muzong
Context triple: [Longqing Emperor, templeName, Muzong]
  • A. Zhizhong
    Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary figures.
  • B. Luoyi
    Luoyi was an ancient Chinese city that served as a major political and cultural center of the Zhou dynasty.
  • C. Yongli
    Yongli was the era name of the last emperor of the Southern Ming dynasty, whose reign marked the final resistance of Ming loyalists against the Qing conquest in 17th-century China.
  • D. Yuanhong
    Yuanhong is a Chinese given name that appears in the full name of the historical figure Li Yuanhong.
  • E. Qichao
    Qichao is the given name of Liang Qichao, a prominent late Qing and early Republican Chinese scholar, journalist, and reformist thinker.
  • 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: [Longqing Emperor, templeName, Muzong]
Generated description
Muzong is the temple name of the Longqing Emperor, a Ming dynasty ruler of China who reigned from 1567 to 1572.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Muzong
Target entity description: Muzong is the temple name of the Longqing Emperor, a Ming dynasty ruler of China who reigned from 1567 to 1572.
  • A. Zhizhong
    Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary figures.
  • B. Luoyi
    Luoyi was an ancient Chinese city that served as a major political and cultural center of the Zhou dynasty.
  • C. Yongli
    Yongli was the era name of the last emperor of the Southern Ming dynasty, whose reign marked the final resistance of Ming loyalists against the Qing conquest in 17th-century China.
  • D. Yuanhong
    Yuanhong is a Chinese given name that appears in the full name of the historical figure Li Yuanhong.
  • E. Qichao
    Qichao is the given name of Liang Qichao, a prominent late Qing and early Republican Chinese scholar, journalist, and reformist thinker.
  • 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_69ad85d8042081908af94a04c410dec0 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc19b26bc8190b3cc0613a1a98361 completed March 8, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b403130cf081909bb90800d7dc2d6f completed March 13, 2026, 12:29 p.m.
NEDg Description generation batch_69b40e244db08190bbe9053619820ae8 completed March 13, 2026, 1:16 p.m.
NED2 Entity disambiguation (via description) batch_69b42d8084c88190a2aae4a883d050a0 completed March 13, 2026, 3:30 p.m.
Created at: March 8, 2026, 3:22 p.m.