Triple

T10851298
Position Surface form Disambiguated ID Type / Status
Subject Zeng Guofan E256151 entity
Predicate givenName P17 FINISHED
Object Guofan
Guofan is the given name of Zeng Guofan, a prominent Qing dynasty statesman, military leader, and Confucian scholar who played a key role in suppressing the Taiping Rebellion.
 E888805 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: Guofan | Statement: [Zeng Guofan, givenName, Guofan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Guofan
Context triple: [Zeng Guofan, givenName, Guofan]
  • A. Yifeng
    Yifeng was a Chinese era name used during the reign of Emperor Gaozong of the Tang dynasty.
  • B. Yingchao
    Yingchao is the given name of Deng Yingchao, a prominent Chinese revolutionary leader and influential politician in the 20th century.
  • C. 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.
  • D. Guangqi
    Guangqi was the era name used during part of Emperor Xizong of the Tang dynasty’s reign in late ninth-century China.
  • E. Guangqi
    Guangqi is the given name of Xu Guangqi, a prominent Ming dynasty scholar-official, scientist, and collaborator with Jesuit missionaries in introducing Western science to 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: Guofan
Triple: [Zeng Guofan, givenName, Guofan]
Generated description
Guofan is the given name of Zeng Guofan, a prominent Qing dynasty statesman, military leader, and Confucian scholar who played a key role in suppressing the Taiping Rebellion.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Guofan
Target entity description: Guofan is the given name of Zeng Guofan, a prominent Qing dynasty statesman, military leader, and Confucian scholar who played a key role in suppressing the Taiping Rebellion.
  • A. Yifeng
    Yifeng was a Chinese era name used during the reign of Emperor Gaozong of the Tang dynasty.
  • B. Yingchao
    Yingchao is the given name of Deng Yingchao, a prominent Chinese revolutionary leader and influential politician in the 20th century.
  • C. 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.
  • D. Guangqi
    Guangqi was the era name used during part of Emperor Xizong of the Tang dynasty’s reign in late ninth-century China.
  • E. Guangqi
    Guangqi is the given name of Xu Guangqi, a prominent Ming dynasty scholar-official, scientist, and collaborator with Jesuit missionaries in introducing Western science to 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75116af20819084c7f8fa88d18e61 completed April 9, 2026, 7:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb17d978c8190883b4a56e88859de completed April 14, 2026, 9:28 p.m.
NEDg Description generation batch_69deb515ab608190981689bcad4b7530 completed April 14, 2026, 9:43 p.m.
NED2 Entity disambiguation (via description) batch_69deb602fa908190bffdd291932da3f1 completed April 14, 2026, 9:47 p.m.
Created at: April 8, 2026, 9:20 p.m.