Triple

T14308278
Position Surface form Disambiguated ID Type / Status
Subject Hua Guofeng E354753 entity
Predicate givenName P17 FINISHED
Object Guofeng
Guofeng is a Chinese given name most notably borne by Hua Guofeng, who briefly served as the paramount leader of China after Mao Zedong.
E1092356 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: Guofeng | Statement: [Hua Guofeng, givenName, Guofeng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guofeng
Context triple: [Hua Guofeng, givenName, Guofeng]
  • A. Guozhang
    Guozhang is a Chinese given name notably borne by Feng Guozhang, a prominent early 20th-century Chinese military and political leader.
  • B. 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.
  • C. Tianyou
    Tianyou was the final era name of the Tang dynasty, marking its last years before the dynasty’s collapse in the early 10th century.
  • D. Zhao Gou
    Zhao Gou, better known as Emperor Gaozong of Song, was the founding emperor of the Southern Song dynasty who reestablished the Song court in the south after the Jurchen conquest of northern China.
  • E. Yuan Quan
    Yuan Quan is a Chinese actress and singer known for her acclaimed performances in film, television, and theater.
  • 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: Guofeng
Triple: [Hua Guofeng, givenName, Guofeng]
Generated description
Guofeng is a Chinese given name most notably borne by Hua Guofeng, who briefly served as the paramount leader of China after Mao Zedong.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Guofeng
Target entity description: Guofeng is a Chinese given name most notably borne by Hua Guofeng, who briefly served as the paramount leader of China after Mao Zedong.
  • A. Guozhang
    Guozhang is a Chinese given name notably borne by Feng Guozhang, a prominent early 20th-century Chinese military and political leader.
  • B. 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.
  • C. Tianyou
    Tianyou was the final era name of the Tang dynasty, marking its last years before the dynasty’s collapse in the early 10th century.
  • D. Zhao Gou
    Zhao Gou, better known as Emperor Gaozong of Song, was the founding emperor of the Southern Song dynasty who reestablished the Song court in the south after the Jurchen conquest of northern China.
  • E. Yuan Quan
    Yuan Quan is a Chinese actress and singer known for her acclaimed performances in film, television, and theater.
  • 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_69d8278ed42c8190b9f882dcce611347 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de85b26da48190a96e2f60ace51335 completed April 14, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d2e2444819090252684673ff3df completed May 8, 2026, 1:32 a.m.
NEDg Description generation batch_69fd3ddb3290819097667666905390ff completed May 8, 2026, 1:35 a.m.
NED2 Entity disambiguation (via description) batch_69fd3ed1fe288190b83dc432b61f0b4f completed May 8, 2026, 1:39 a.m.
Created at: April 10, 2026, 1:12 a.m.