Triple
T7035131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mao |
E163362
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Mao Ning
Mao Ning is a Chinese diplomat and politician who has served as the spokesperson for China’s Ministry of Foreign Affairs.
|
E657034
|
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: Mao Ning | Statement: [Mao, hasNotableBearer, Mao Ning]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mao Ning Context triple: [Mao, hasNotableBearer, Mao Ning]
-
A.
Mao Xinyu
Mao Xinyu is a Chinese major general and military historian best known as the grandson of Mao Zedong.
-
B.
Mao Jiaojiao
Mao Jiaojiao is a descendant of Chinese Communist leader Mao Zedong and a lesser-known member of his extended family.
-
C.
Li Xiannian
Li Xiannian was a prominent Chinese Communist revolutionary and politician who served as President of the People’s Republic of China from 1983 to 1988.
-
D.
Gao Yang
Gao Yang, better known as Emperor Wenxuan of Northern Qi, was the founding emperor of the Northern Qi dynasty in 6th-century China.
-
E.
Lin Yurong
Lin Yurong is the original birth name of Lin Biao, a prominent Chinese Communist military leader and key figure in the Chinese Civil War and early People’s Republic of China.
- 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: Mao Ning Triple: [Mao, hasNotableBearer, Mao Ning]
Generated description
Mao Ning is a Chinese diplomat and politician who has served as the spokesperson for China’s Ministry of Foreign Affairs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mao Ning Target entity description: Mao Ning is a Chinese diplomat and politician who has served as the spokesperson for China’s Ministry of Foreign Affairs.
-
A.
Mao Xinyu
Mao Xinyu is a Chinese major general and military historian best known as the grandson of Mao Zedong.
-
B.
Mao Jiaojiao
Mao Jiaojiao is a descendant of Chinese Communist leader Mao Zedong and a lesser-known member of his extended family.
-
C.
Li Xiannian
Li Xiannian was a prominent Chinese Communist revolutionary and politician who served as President of the People’s Republic of China from 1983 to 1988.
-
D.
Gao Yang
Gao Yang, better known as Emperor Wenxuan of Northern Qi, was the founding emperor of the Northern Qi dynasty in 6th-century China.
-
E.
Lin Yurong
Lin Yurong is the original birth name of Lin Biao, a prominent Chinese Communist military leader and key figure in the Chinese Civil War and early People’s Republic of China.
- 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_69c6885d691c81908cf7d31083113886 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e212e28c8190bf38ce9a25d2032e |
completed | March 27, 2026, 8:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7eebe7d008190990482c7d6b512f5 |
completed | March 28, 2026, 3:07 p.m. |
| NEDg | Description generation | batch_69c7ef95787c819086684c4286166b43 |
completed | March 28, 2026, 3:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7f0644ebc8190971075d75e3a76d0 |
completed | March 28, 2026, 3:14 p.m. |
Created at: March 27, 2026, 2:36 p.m.