Triple
T16731526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ten Great Campaigns |
E406602
|
entity |
| Predicate | commander |
P1061
|
FINISHED |
| Object |
Zhaohui
Zhaohui was a prominent Qing dynasty general best known for leading imperial forces in several of the Ten Great Campaigns under the Qianlong Emperor.
|
E1230235
|
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: Zhaohui | Statement: [Ten Great Campaigns, commander, Zhaohui]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zhaohui Context triple: [Ten Great Campaigns, commander, Zhaohui]
-
A.
Shuheng
Shuheng is the given name of He Shuheng, an early Chinese Communist revolutionary and political figure.
-
B.
Hui
The Hui are a predominantly Muslim ethnic group in China known for their integration of Islamic faith with Han Chinese language and cultural practices.
-
C.
Wenzhong
Wenzhong is the posthumous honorific title granted to the eminent Song dynasty scholar-official, historian, and poet Ouyang Xiu.
-
D.
Zhihong
Zhihong is a Chinese given name that represents an alternative romanization of the name Zhizhong.
-
E.
Weihui
Weihui is a county-level city in northern Henan Province, China, administered by the prefecture-level city of Xinxiang.
- 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: Zhaohui Triple: [Ten Great Campaigns, commander, Zhaohui]
Generated description
Zhaohui was a prominent Qing dynasty general best known for leading imperial forces in several of the Ten Great Campaigns under the Qianlong Emperor.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zhaohui Target entity description: Zhaohui was a prominent Qing dynasty general best known for leading imperial forces in several of the Ten Great Campaigns under the Qianlong Emperor.
-
A.
Shuheng
Shuheng is the given name of He Shuheng, an early Chinese Communist revolutionary and political figure.
-
B.
Hui
The Hui are a predominantly Muslim ethnic group in China known for their integration of Islamic faith with Han Chinese language and cultural practices.
-
C.
Wenzhong
Wenzhong is the posthumous honorific title granted to the eminent Song dynasty scholar-official, historian, and poet Ouyang Xiu.
-
D.
Zhihong
Zhihong is a Chinese given name that represents an alternative romanization of the name Zhizhong.
-
E.
Weihui
Weihui is a county-level city in northern Henan Province, China, administered by the prefecture-level city of Xinxiang.
- 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_69d8838f242881908abd8bc138795886 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e39c362bb88190921fab43d76c3ee8 |
completed | April 18, 2026, 2:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009d4a94688190aabe56c34e8cc2c3 |
completed | May 10, 2026, 2:59 p.m. |
| NEDg | Description generation | batch_6a009dd925308190a82c6ef014b37333 |
completed | May 10, 2026, 3:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a009e9b9874819084060408cdc44d0b |
completed | May 10, 2026, 3:04 p.m. |
Created at: April 10, 2026, 5:20 a.m.