Triple

T2944948
Position Surface form Disambiguated ID Type / Status
Subject Hongguang Emperor E79478 entity
Predicate courtesyName P570 FINISHED
Object 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.
 E311844 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: Deyu | Statement: [Hongguang Emperor, courtesyName, Deyu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Deyu
Context triple: [Hongguang Emperor, courtesyName, Deyu]
  • A. Huayu
    Huayu is a term used primarily in Singapore, Malaysia, and other overseas Chinese communities to refer to the standardized form of Mandarin Chinese used in education and media.
  • B. Dongfang
    Dongfang is a county-level coastal city in western Hainan Province, China, known for its tropical climate and maritime economy.
  • C. Guanggu
    Guanggu is a major high-tech development zone in Wuhan, China, known as an innovation hub for the optics and electronics industries.
  • D. Changling
    Changling is the largest and best-preserved mausoleum within Beijing’s Ming Tombs complex, built for the Yongle Emperor and his empress.
  • E. Luoyi
    Luoyi was an ancient Chinese city that served as a major political and cultural center of the Zhou dynasty.
  • 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: Deyu
Triple: [Hongguang Emperor, courtesyName, Deyu]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Deyu
Target entity description: 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.
  • A. Huayu
    Huayu is a term used primarily in Singapore, Malaysia, and other overseas Chinese communities to refer to the standardized form of Mandarin Chinese used in education and media.
  • B. Dongfang
    Dongfang is a county-level coastal city in western Hainan Province, China, known for its tropical climate and maritime economy.
  • C. Guanggu
    Guanggu is a major high-tech development zone in Wuhan, China, known as an innovation hub for the optics and electronics industries.
  • D. Changling
    Changling is the largest and best-preserved mausoleum within Beijing’s Ming Tombs complex, built for the Yongle Emperor and his empress.
  • E. Luoyi
    Luoyi was an ancient Chinese city that served as a major political and cultural center of the Zhou dynasty.
  • 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_69ad8b1089588190b74d9e2505e45762 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad98b2752481908ec6f9a9cc24c0a7 completed March 8, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0868d754c8190b075ca0fd902814a completed March 10, 2026, 9:01 p.m.
NEDg Description generation batch_69b0dd08d390819089c241122db5deed completed March 11, 2026, 3:10 a.m.
NED2 Entity disambiguation (via description) batch_69b0dd9857a8819092785308e67ba66f completed March 11, 2026, 3:12 a.m.
Created at: March 8, 2026, 2:56 p.m.