Triple
T10851335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zeng Guofan |
E256151
|
entity |
| Predicate | posthumousName |
P744
|
FINISHED |
| Object |
Wenzheng
Wenzheng is the posthumous honorific title granted to the influential Qing dynasty statesman and military leader Zeng Guofan, reflecting his perceived moral integrity and contributions.
|
E891189
|
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: Wenzheng | Statement: [Zeng Guofan, posthumousName, Wenzheng]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wenzheng Context triple: [Zeng Guofan, posthumousName, Wenzheng]
-
A.
Huizheng
Huizheng was the father of Empress Dowager Cixi, the powerful de facto ruler of late Qing dynasty China.
-
B.
Yuncheng
Yuncheng is a major city in southern Shanxi Province, China, known for its historical sites and role as a regional transportation and economic hub.
-
C.
Sanming
Sanming is a prefecture-level industrial and transport hub located in the mountainous interior of Fujian Province in southeastern China.
-
D.
Yongcheng
Yongcheng was a Qing dynasty imperial prince, known as one of the sons of the Qianlong Emperor of China.
-
E.
Nanzheng
Nanzheng is the historical name of Hanzhong, an ancient city in southwestern Shaanxi, China, known for its strategic location and rich cultural heritage.
- 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: Wenzheng Triple: [Zeng Guofan, posthumousName, Wenzheng]
Generated description
Wenzheng is the posthumous honorific title granted to the influential Qing dynasty statesman and military leader Zeng Guofan, reflecting his perceived moral integrity and contributions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wenzheng Target entity description: Wenzheng is the posthumous honorific title granted to the influential Qing dynasty statesman and military leader Zeng Guofan, reflecting his perceived moral integrity and contributions.
-
A.
Huizheng
Huizheng was the father of Empress Dowager Cixi, the powerful de facto ruler of late Qing dynasty China.
-
B.
Yuncheng
Yuncheng is a major city in southern Shanxi Province, China, known for its historical sites and role as a regional transportation and economic hub.
-
C.
Sanming
Sanming is a prefecture-level industrial and transport hub located in the mountainous interior of Fujian Province in southeastern China.
-
D.
Yongcheng
Yongcheng was a Qing dynasty imperial prince, known as one of the sons of the Qianlong Emperor of China.
-
E.
Nanzheng
Nanzheng is the historical name of Hanzhong, an ancient city in southwestern Shaanxi, China, known for its strategic location and rich cultural heritage.
- 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_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75116af20819084c7f8fa88d18e61 |
completed | April 9, 2026, 7:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dff7cc0d648190afb0ce80bac7f3dc |
completed | April 15, 2026, 8:40 p.m. |
| NEDg | Description generation | batch_69e0b498df2481908c964d53b1782774 |
completed | April 16, 2026, 10:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e11e21fc2c8190878a877ecd3b465e |
completed | April 16, 2026, 5:36 p.m. |
Created at: April 8, 2026, 9:20 p.m.