Triple

T18406970
Position Surface form Disambiguated ID Type / Status
Subject Ulanhu E441650 entity
Predicate nativeName P15 FINISHED
Object 乌兰夫
乌兰夫是中国著名蒙古族革命家和政治家,曾长期担任内蒙古自治区主要领导并在中央政府中担任重要职务。
E1322347 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: 乌兰夫 | Statement: [Ulanhu, nativeName, 乌兰夫]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 乌兰夫
Context triple: [Ulanhu, nativeName, 乌兰夫]
  • A. 任弼时
    任弼时 was a prominent early leader of the Chinese Communist Party and a close associate of Mao Zedong who played key roles in party organization and revolutionary activities.
  • B. 康生
    康生 was a powerful and notorious Chinese Communist Party leader and secret police chief, closely associated with Mao Zedong and major political purges during the mid-20th century.
  • C. 叶剑英
    叶剑英 was a prominent Chinese Communist military leader and statesman who served as one of the Ten Marshals of the People’s Republic of China and later as its top legislator.
  • D. Peng Zhen
    Peng Zhen was a prominent Chinese Communist revolutionary and politician who served as Chairman of the Standing Committee of the National People's Congress and played a key role in China's legal and legislative development.
  • E. 罗瑞卿
    罗瑞卿是中国人民解放军高级将领、中华人民共和国开国上将之一,曾任公安部部长和中央军委秘书长等重要职务。
  • 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: 乌兰夫
Triple: [Ulanhu, nativeName, 乌兰夫]
Generated description
乌兰夫是中国著名蒙古族革命家和政治家,曾长期担任内蒙古自治区主要领导并在中央政府中担任重要职务。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 乌兰夫
Target entity description: 乌兰夫是中国著名蒙古族革命家和政治家,曾长期担任内蒙古自治区主要领导并在中央政府中担任重要职务。
  • A. 任弼时
    任弼时 was a prominent early leader of the Chinese Communist Party and a close associate of Mao Zedong who played key roles in party organization and revolutionary activities.
  • B. 康生
    康生 was a powerful and notorious Chinese Communist Party leader and secret police chief, closely associated with Mao Zedong and major political purges during the mid-20th century.
  • C. 叶剑英
    叶剑英 was a prominent Chinese Communist military leader and statesman who served as one of the Ten Marshals of the People’s Republic of China and later as its top legislator.
  • D. Peng Zhen
    Peng Zhen was a prominent Chinese Communist revolutionary and politician who served as Chairman of the Standing Committee of the National People's Congress and played a key role in China's legal and legislative development.
  • E. 罗瑞卿
    罗瑞卿是中国人民解放军高级将领、中华人民共和国开国上将之一,曾任公安部部长和中央军委秘书长等重要职务。
  • 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_69d8b9eb8a508190a942fd75ebd8b1dc completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e519591fdc8190a92f9587ec88478d completed April 19, 2026, 6:05 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03e2480ec881909d92a2303fc8409f completed May 13, 2026, 2:30 a.m.
NEDg Description generation batch_6a03e341afa881909fce49af047d0a83 completed May 13, 2026, 2:34 a.m.
NED2 Entity disambiguation (via description) batch_6a03e3ac2f4081908e086f8efd1393ae completed May 13, 2026, 2:36 a.m.
Created at: April 10, 2026, 10:46 a.m.