Triple
T9712126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yan (surname) |
E235045
|
entity |
| Predicate | canBeWrittenAs |
P12679
|
FINISHED |
| Object |
嚴
嚴 is a traditional Chinese character used as a surname and in words conveying the meaning of "strict" or "severe."
|
E816897
|
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: 嚴 | Statement: [Yan (surname), canBeWrittenAs, 嚴]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 嚴 Context triple: [Yan (surname), canBeWrittenAs, 嚴]
-
A.
Zǐjìnchéng
Zǐjìnchéng is the Mandarin Chinese name (in pinyin) for the Forbidden City, the historic imperial palace complex in Beijing.
-
B.
Zhenxun
Zhenxun was an ancient Chinese city traditionally regarded as one of the principal political centers of the Xia dynasty.
-
C.
Xu Shuzheng
Xu Shuzheng was a prominent early 20th-century Chinese warlord and politician known for his role in Republican-era military and political struggles, including the brief occupation of Outer Mongolia.
-
D.
Shouchun
Shouchun was an ancient Chinese city that served as a major political center and later capital of the state of Chu during the Warring States period.
-
E.
Nie Shouxin
Nie Shouxin is the original name of Nie Er, the renowned Chinese composer best known for writing the national anthem of the People's Republic of China.
- 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: 嚴 Triple: [Yan (surname), canBeWrittenAs, 嚴]
Generated description
嚴 is a traditional Chinese character used as a surname and in words conveying the meaning of "strict" or "severe."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 嚴 Target entity description: 嚴 is a traditional Chinese character used as a surname and in words conveying the meaning of "strict" or "severe."
-
A.
Zǐjìnchéng
Zǐjìnchéng is the Mandarin Chinese name (in pinyin) for the Forbidden City, the historic imperial palace complex in Beijing.
-
B.
Zhenxun
Zhenxun was an ancient Chinese city traditionally regarded as one of the principal political centers of the Xia dynasty.
-
C.
Xu Shuzheng
Xu Shuzheng was a prominent early 20th-century Chinese warlord and politician known for his role in Republican-era military and political struggles, including the brief occupation of Outer Mongolia.
-
D.
Shouchun
Shouchun was an ancient Chinese city that served as a major political center and later capital of the state of Chu during the Warring States period.
-
E.
Nie Shouxin
Nie Shouxin is the original name of Nie Er, the renowned Chinese composer best known for writing the national anthem of the People's Republic of China.
- 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_69ca84cd8fa0819090a5e243ceb37003 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e0705f8819095852263009c28c5 |
completed | April 1, 2026, 10:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19f8c26dc8190a6fa21bde27ba6fa |
completed | April 4, 2026, 11:32 p.m. |
| NEDg | Description generation | batch_69d1a0326dd081909e39e422c11cc08f |
completed | April 4, 2026, 11:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1a0c05aa88190a93b0b71bef5c417 |
completed | April 4, 2026, 11:37 p.m. |
Created at: March 30, 2026, 8:19 p.m.