Triple

T16242253
Position Surface form Disambiguated ID Type / Status
Subject Zhengtong Emperor E394278 entity
Predicate reignName P32785 FINISHED
Object Tianshun
Tianshun was the era name used during the later reign of the Ming dynasty's Zhengtong Emperor, marking his restoration to the throne in 15th-century China.
 E1204847 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: Tianshun | Statement: [Zhengtong Emperor, reignName, Tianshun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tianshun
Context triple: [Zhengtong Emperor, reignName, Tianshun]
  • A. Guisui
    Guisui was the historical name for the city now known as Hohhot, a major urban center in northern China.
  • B. Longqing
    Longqing was the era name of a brief but notable period of the Ming dynasty in China, associated with the reign of the Longqing Emperor in the 16th century.
  • C. Yuanxin
    Yuanxin is the given name of Mao Yuanxin, a Chinese political figure known for being the nephew of Mao Zedong and a prominent youth leader during the Cultural Revolution.
  • D. Baoying
    Baoying was a historical Chinese era name used during the reign of Emperor Daizong of the Tang dynasty.
  • E. Xinyu
    Xinyu is a prefecture-level industrial city located in central Jiangxi Province in southeastern China.
  • 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: Tianshun
Triple: [Zhengtong Emperor, reignName, Tianshun]
Generated description
Tianshun was the era name used during the later reign of the Ming dynasty's Zhengtong Emperor, marking his restoration to the throne in 15th-century China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tianshun
Target entity description: Tianshun was the era name used during the later reign of the Ming dynasty's Zhengtong Emperor, marking his restoration to the throne in 15th-century China.
  • A. Guisui
    Guisui was the historical name for the city now known as Hohhot, a major urban center in northern China.
  • B. Longqing
    Longqing was the era name of a brief but notable period of the Ming dynasty in China, associated with the reign of the Longqing Emperor in the 16th century.
  • C. Yuanxin
    Yuanxin is the given name of Mao Yuanxin, a Chinese political figure known for being the nephew of Mao Zedong and a prominent youth leader during the Cultural Revolution.
  • D. Baoying
    Baoying was a historical Chinese era name used during the reign of Emperor Daizong of the Tang dynasty.
  • E. Xinyu
    Xinyu is a prefecture-level industrial city located in central Jiangxi Province in southeastern China.
  • 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2455eeb4c81909066a8af78329ef3 completed April 17, 2026, 2:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001f8ae4288190b59e4af3e3d95000 completed May 10, 2026, 6:02 a.m.
NEDg Description generation batch_6a00203a93c4819080e5e1c5b345ba77 completed May 10, 2026, 6:05 a.m.
NED2 Entity disambiguation (via description) batch_6a0020bcdb388190be736469d1b78af8 completed May 10, 2026, 6:07 a.m.
Created at: April 10, 2026, 5:04 a.m.