Triple

T2933929
Position Surface form Disambiguated ID Type / Status
Subject Jianwen Emperor E79220 entity
Predicate givenName P17 FINISHED
Object Yunwen
Yunwen was the personal name of the Jianwen Emperor, a Ming dynasty ruler of China known for his short and turbulent reign and subsequent mysterious disappearance.
 E311599 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: Yunwen | Statement: [Jianwen Emperor, givenName, Yunwen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yunwen
Context triple: [Jianwen Emperor, givenName, Yunwen]
  • 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. Pan Yunduan
    Pan Yunduan was a Ming dynasty official best known for commissioning and building Shanghai’s famous Yu Garden as a private retreat for his family.
  • D. Wu
    Wu is a common Chinese surname borne by many notable individuals across politics, academia, entertainment, and sports.
  • E. Guangyi
    Guangyi was a warship that served in China's late 19th-century Beiyang Fleet, one of the Qing dynasty's principal modern naval forces.
  • 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: Yunwen
Triple: [Jianwen Emperor, givenName, Yunwen]
Generated description
Yunwen was the personal name of the Jianwen Emperor, a Ming dynasty ruler of China known for his short and turbulent reign and subsequent mysterious disappearance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yunwen
Target entity description: Yunwen was the personal name of the Jianwen Emperor, a Ming dynasty ruler of China known for his short and turbulent reign and subsequent mysterious disappearance.
  • 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. Pan Yunduan
    Pan Yunduan was a Ming dynasty official best known for commissioning and building Shanghai’s famous Yu Garden as a private retreat for his family.
  • D. Wu
    Wu is a common Chinese surname borne by many notable individuals across politics, academia, entertainment, and sports.
  • E. Guangyi
    Guangyi was a warship that served in China's late 19th-century Beiyang Fleet, one of the Qing dynasty's principal modern naval forces.
  • 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_69ad8b0fbab081908f6a61567c045d8d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad983b65f881909b8b7d3dc5c224fd completed March 8, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0867ba1b48190a54d00c32b075548 completed March 10, 2026, 9 p.m.
NEDg Description generation batch_69b0dbda7ab881908b5a3e1e897fcb49 completed March 11, 2026, 3:04 a.m.
NED2 Entity disambiguation (via description) batch_69b0dc3ed9e08190ac6c6357f0084ba6 completed March 11, 2026, 3:06 a.m.
Created at: March 8, 2026, 2:56 p.m.