Triple

T1846066
Position Surface form Disambiguated ID Type / Status
Subject Hu Jintao E41285 entity
Predicate givenName P17 FINISHED
Object Jintao
Jintao is the given name of Hu Jintao, the former President of the People's Republic of China and General Secretary of the Chinese Communist Party.
 E233044 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: Jintao | Statement: [Hu Jintao, givenName, Jintao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jintao
Context triple: [Hu Jintao, givenName, Jintao]
  • A. Lingang
    Lingang is a rapidly developing industrial and high-tech district in Shanghai, China, known for hosting major manufacturing facilities such as Tesla’s Gigafactory Shanghai.
  • B. Zhizhong
    Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary figures.
  • C. Xiantao
    Xiantao is a county-level city in central China’s Hubei province, known for its location on the Jianghan Plain and its role as a regional agricultural and industrial center.
  • D. Lincang
    Lincang is a prefecture-level city in southwestern China known for its tea production, diverse ethnic cultures, and location near the border with Myanmar.
  • E. Tongling
    Tongling is a prefecture-level city in eastern China known for its rich copper resources and mining industry.
  • 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: Jintao
Triple: [Hu Jintao, givenName, Jintao]
Generated description
Jintao is the given name of Hu Jintao, the former President of the People's Republic of China and General Secretary of the Chinese Communist Party.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jintao
Target entity description: Jintao is the given name of Hu Jintao, the former President of the People's Republic of China and General Secretary of the Chinese Communist Party.
  • A. Lingang
    Lingang is a rapidly developing industrial and high-tech district in Shanghai, China, known for hosting major manufacturing facilities such as Tesla’s Gigafactory Shanghai.
  • B. Zhizhong
    Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary figures.
  • C. Xiantao
    Xiantao is a county-level city in central China’s Hubei province, known for its location on the Jianghan Plain and its role as a regional agricultural and industrial center.
  • D. Lincang
    Lincang is a prefecture-level city in southwestern China known for its tea production, diverse ethnic cultures, and location near the border with Myanmar.
  • E. Tongling
    Tongling is a prefecture-level city in eastern China known for its rich copper resources and mining industry.
  • 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_69a88648cd44819093303206d96d76ad completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb051640c819088a8b28a03f57331 completed March 7, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae30409f4c819084c6833ee75343a2 completed March 9, 2026, 2:28 a.m.
NEDg Description generation batch_69ae30f6b7c4819080cb7cb7adc1f6d3 completed March 9, 2026, 2:31 a.m.
NED2 Entity disambiguation (via description) batch_69ae31849d7c8190a4e3c90334bf21a5 completed March 9, 2026, 2:33 a.m.
Created at: March 4, 2026, 7:33 p.m.