Triple
T7035133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mao |
E163362
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Mao Yushi
Mao Yushi is a prominent Chinese economist and public intellectual known for his advocacy of market-oriented reforms and liberal economic policies.
|
E659734
|
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 Yushi | Statement: [Mao, hasNotableBearer, Mao Yushi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mao Yushi Context triple: [Mao, hasNotableBearer, Mao Yushi]
-
A.
Mao Xinyu
Mao Xinyu is a Chinese major general and military historian best known as the grandson of Mao Zedong.
-
B.
Mao Buyi
Mao Buyi is a Chinese singer-songwriter known for his introspective lyrics and breakout success after winning the talent show "The Coming One."
-
C.
Mao Anqing
Mao Anqing was the second son of Chinese Communist leader Mao Zedong, known for his work as a Russian-language translator and his relatively low political profile compared to his father.
-
D.
Mao Yichang
Mao Yichang was the father of Mao Zedong and a relatively prosperous peasant farmer in Hunan, China.
-
E.
Mao Yuanxin
Mao Yuanxin is a Chinese political figure known as Mao Zedong’s nephew who briefly held influential positions during the final years of the Cultural Revolution.
- 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 Yushi Triple: [Mao, hasNotableBearer, Mao Yushi]
Generated description
Mao Yushi is a prominent Chinese economist and public intellectual known for his advocacy of market-oriented reforms and liberal economic policies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mao Yushi Target entity description: Mao Yushi is a prominent Chinese economist and public intellectual known for his advocacy of market-oriented reforms and liberal economic policies.
-
A.
Mao Xinyu
Mao Xinyu is a Chinese major general and military historian best known as the grandson of Mao Zedong.
-
B.
Mao Buyi
Mao Buyi is a Chinese singer-songwriter known for his introspective lyrics and breakout success after winning the talent show "The Coming One."
-
C.
Mao Anqing
Mao Anqing was the second son of Chinese Communist leader Mao Zedong, known for his work as a Russian-language translator and his relatively low political profile compared to his father.
-
D.
Mao Yichang
Mao Yichang was the father of Mao Zedong and a relatively prosperous peasant farmer in Hunan, China.
-
E.
Mao Yuanxin
Mao Yuanxin is a Chinese political figure known as Mao Zedong’s nephew who briefly held influential positions during the final years of the Cultural Revolution.
- 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_69c8029da4688190ae479d3f791aa1c2 |
completed | March 28, 2026, 4:32 p.m. |
| NEDg | Description generation | batch_69c80362bcb88190ad8c42f520d7dd56 |
completed | March 28, 2026, 4:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c803da5e2c819098814b16d14cf837 |
completed | March 28, 2026, 4:37 p.m. |
Created at: March 27, 2026, 2:36 p.m.