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.