Triple
T7035137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mao |
E163362
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Mao Xueying
Mao Xueying is a Chinese individual notable for bearing the surname Mao, though specific widely recognized public achievements or roles are not well documented.
|
E665575
|
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 Xueying | Statement: [Mao, hasNotableBearer, Mao Xueying]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mao Xueying Context triple: [Mao, hasNotableBearer, Mao Xueying]
-
A.
Mao Xinyu
Mao Xinyu is a Chinese major general and military historian best known as the grandson of Mao Zedong.
-
B.
Mao Xuefeng
Mao Xuefeng is a Chinese individual notable enough to be specifically cited as a prominent bearer of the surname Mao.
-
C.
Mao Yushi
Mao Yushi is a prominent Chinese economist and public intellectual known for his advocacy of market-oriented reforms and liberal economic policies.
-
D.
Jiang Luxia
Jiang Luxia is a Chinese actress and martial artist known for her action roles and strong on-screen combat skills.
-
E.
Mao Ning
Mao Ning is a Chinese diplomat and politician who has served as the spokesperson for China’s Ministry of Foreign Affairs.
- 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 Xueying Triple: [Mao, hasNotableBearer, Mao Xueying]
Generated description
Mao Xueying is a Chinese individual notable for bearing the surname Mao, though specific widely recognized public achievements or roles are not well documented.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mao Xueying Target entity description: Mao Xueying is a Chinese individual notable for bearing the surname Mao, though specific widely recognized public achievements or roles are not well documented.
-
A.
Mao Xinyu
Mao Xinyu is a Chinese major general and military historian best known as the grandson of Mao Zedong.
-
B.
Mao Xuefeng
Mao Xuefeng is a Chinese individual notable enough to be specifically cited as a prominent bearer of the surname Mao.
-
C.
Mao Yushi
Mao Yushi is a prominent Chinese economist and public intellectual known for his advocacy of market-oriented reforms and liberal economic policies.
-
D.
Jiang Luxia
Jiang Luxia is a Chinese actress and martial artist known for her action roles and strong on-screen combat skills.
-
E.
Mao Ning
Mao Ning is a Chinese diplomat and politician who has served as the spokesperson for China’s Ministry of Foreign Affairs.
- 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_69c82754e9248190b86b05b61a4ae23c |
completed | March 28, 2026, 7:09 p.m. |
| NEDg | Description generation | batch_69c828e1487081908de825d60ea38c9e |
completed | March 28, 2026, 7:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c829d8a15c8190911e0d7bda39c280 |
completed | March 28, 2026, 7:19 p.m. |
Created at: March 27, 2026, 2:36 p.m.