Triple
T12928988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nie Shicheng |
E309320
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Shicheng
Shicheng is a Chinese given name notably borne by the late Qing dynasty general Nie Shicheng.
|
E1015739
|
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: Shicheng | Statement: [Nie Shicheng, givenName, Shicheng]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shicheng Context triple: [Nie Shicheng, givenName, Shicheng]
-
A.
Jianyang
Jianyang is a county-level city in northern Fujian Province, China, known for its historical role in tea production and its location along the Min River.
-
B.
Shicheng County
Shicheng County is a county-level administrative region in southeastern Jiangxi Province, China, known for its mountainous landscapes and role within the Ganzhou prefecture-level city.
-
C.
Changshou
Changshou was a Chinese imperial era name used during the reign of Empress Wu Zetian in the Tang dynasty.
-
D.
Shizuishan
Shizuishan is a major industrial city in northern China known for its coal mining and heavy industry along the Yellow River.
-
E.
Zicheng
Zicheng is the courtesy name of Zeng Guofan, a prominent Qing dynasty statesman, military leader, and Confucian scholar who played a key role in suppressing the Taiping Rebellion.
- 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: Shicheng Triple: [Nie Shicheng, givenName, Shicheng]
Generated description
Shicheng is a Chinese given name notably borne by the late Qing dynasty general Nie Shicheng.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shicheng Target entity description: Shicheng is a Chinese given name notably borne by the late Qing dynasty general Nie Shicheng.
-
A.
Jianyang
Jianyang is a county-level city in northern Fujian Province, China, known for its historical role in tea production and its location along the Min River.
-
B.
Shicheng County
Shicheng County is a county-level administrative region in southeastern Jiangxi Province, China, known for its mountainous landscapes and role within the Ganzhou prefecture-level city.
-
C.
Changshou
Changshou was a Chinese imperial era name used during the reign of Empress Wu Zetian in the Tang dynasty.
-
D.
Shizuishan
Shizuishan is a major industrial city in northern China known for its coal mining and heavy industry along the Yellow River.
-
E.
Zicheng
Zicheng is the courtesy name of Zeng Guofan, a prominent Qing dynasty statesman, military leader, and Confucian scholar who played a key role in suppressing the Taiping Rebellion.
- 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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971ec72a48190aceef10630603d2c |
completed | April 10, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c0eaa3688190b399aa212e16ca08 |
completed | May 3, 2026, 3:28 a.m. |
| NEDg | Description generation | batch_69f6c2a1eaf48190b7905d997423235e |
completed | May 3, 2026, 3:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6c34b9ec08190bb29458b6f43c388 |
completed | May 3, 2026, 3:38 a.m. |
Created at: April 9, 2026, 5:42 p.m.