Triple

T12054787
Position Surface form Disambiguated ID Type / Status
Subject 南开大学 E287010 entity
Predicate 知名校友 P82963 FINISHED
Object 吴大观
吴大观是中国著名航空发动机专家和教育家,被誉为中国航空发动机事业的重要奠基人之一。
E960878 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: 吴大观 | Statement: [南开大学, 知名校友, 吴大观]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 吴大观
Context triple: [南开大学, 知名校友, 吴大观]
  • A. Peng Shilu
    Peng Shilu was a pioneering Chinese nuclear engineer widely regarded as the "father of China's nuclear submarines" for his leading role in developing the country's first nuclear-powered subs.
  • B. Zhu Guangya
    Zhu Guangya was a prominent Chinese nuclear physicist and key architect of China’s nuclear weapons and energy programs.
  • C. Mao Yisheng
    Mao Yisheng was a pioneering Chinese civil engineer and bridge expert renowned for his foundational contributions to modern bridge construction in China.
  • D. Liu Yongqing
    Liu Yongqing is a Chinese public figure best known as the wife of former Chinese president Hu Jintao and for her low-profile role as China's first lady during his tenure.
  • E. Liang Sicheng
    Liang Sicheng was a pioneering Chinese architect and architectural historian, often called the "father of modern Chinese architecture" for his influential designs, scholarship, and preservation work.
  • 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: 吴大观
Triple: [南开大学, 知名校友, 吴大观]
Generated description
吴大观是中国著名航空发动机专家和教育家,被誉为中国航空发动机事业的重要奠基人之一。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 吴大观
Target entity description: 吴大观是中国著名航空发动机专家和教育家,被誉为中国航空发动机事业的重要奠基人之一。
  • A. Peng Shilu
    Peng Shilu was a pioneering Chinese nuclear engineer widely regarded as the "father of China's nuclear submarines" for his leading role in developing the country's first nuclear-powered subs.
  • B. Zhu Guangya
    Zhu Guangya was a prominent Chinese nuclear physicist and key architect of China’s nuclear weapons and energy programs.
  • C. Mao Yisheng
    Mao Yisheng was a pioneering Chinese civil engineer and bridge expert renowned for his foundational contributions to modern bridge construction in China.
  • D. Liu Yongqing
    Liu Yongqing is a Chinese public figure best known as the wife of former Chinese president Hu Jintao and for her low-profile role as China's first lady during his tenure.
  • E. Liang Sicheng
    Liang Sicheng was a pioneering Chinese architect and architectural historian, often called the "father of modern Chinese architecture" for his influential designs, scholarship, and preservation work.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915124e4c8190b0264c2a09e3c2f3 completed April 10, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49dea043c8190a74ffb448bbae5d0 completed May 1, 2026, 12:34 p.m.
NEDg Description generation batch_69f53d95d4fc8190b5f4e460646bec2a completed May 1, 2026, 11:56 p.m.
NED2 Entity disambiguation (via description) batch_69f56505c0b481909f9caaf338f73033 completed May 2, 2026, 2:44 a.m.
Created at: April 8, 2026, 9:47 p.m.