Triple
T9501268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xi Zhongxun |
E229145
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Zhongxun
Zhongxun is the given name of Xi Zhongxun, a prominent Chinese Communist revolutionary and senior political leader.
|
E803658
|
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: Zhongxun | Statement: [Xi Zhongxun, givenName, Zhongxun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zhongxun Context triple: [Xi Zhongxun, givenName, Zhongxun]
-
A.
Zhongyuan Guanhua
Zhongyuan Guanhua is a major dialect group of Mandarin Chinese spoken primarily in China’s Central Plains region, including parts of Henan, Shanxi, Shaanxi, and surrounding areas.
-
B.
Chongxin
Chongxin is the Chinese given name of Joe Tsai, the Taiwanese-Canadian co-founder and executive vice chairman of Alibaba Group.
-
C.
Zhizhong
Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary figures.
-
D.
Huaxiang
Huaxiang is a subdistrict-level area within Beijing’s Fengtai District, known primarily as a residential and urban community zone.
-
E.
Lianyuan
Lianyuan is a county-level city in central Hunan Province, China, administered by the prefecture-level city of Loudi and known for its coal resources and industrial development.
- 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: Zhongxun Triple: [Xi Zhongxun, givenName, Zhongxun]
Generated description
Zhongxun is the given name of Xi Zhongxun, a prominent Chinese Communist revolutionary and senior political leader.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zhongxun Target entity description: Zhongxun is the given name of Xi Zhongxun, a prominent Chinese Communist revolutionary and senior political leader.
-
A.
Zhongyuan Guanhua
Zhongyuan Guanhua is a major dialect group of Mandarin Chinese spoken primarily in China’s Central Plains region, including parts of Henan, Shanxi, Shaanxi, and surrounding areas.
-
B.
Chongxin
Chongxin is the Chinese given name of Joe Tsai, the Taiwanese-Canadian co-founder and executive vice chairman of Alibaba Group.
-
C.
Zhizhong
Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary figures.
-
D.
Huaxiang
Huaxiang is a subdistrict-level area within Beijing’s Fengtai District, known primarily as a residential and urban community zone.
-
E.
Lianyuan
Lianyuan is a county-level city in central Hunan Province, China, administered by the prefecture-level city of Loudi and known for its coal resources and industrial development.
- 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_69ca84753660819098e8d416e89e26ae |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd983d4b708190a4dfef1246986a26 |
completed | April 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d13a0a5ec881908bb1643d2bea2c9f |
completed | April 4, 2026, 4:19 p.m. |
| NEDg | Description generation | batch_69d13b7752fc819094ceb0ade960ecad |
completed | April 4, 2026, 4:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d13bc9f0dc8190879c37383b197a3b |
completed | April 4, 2026, 4:26 p.m. |
Created at: March 30, 2026, 7:57 p.m.