Triple
T8066436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State of Han |
E188254
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object |
韓
韓 is the Chinese character used to denote the ancient State of Han, one of the Zhou dynasty vassal states during the Warring States period of Chinese history.
|
E709528
|
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: 韓 | Statement: [State of Han, nativeName, 韓]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 韓 Context triple: [State of Han, nativeName, 韓]
-
A.
Yi
Yi is a common Chinese given name shared by numerous historical and contemporary figures across politics, arts, and other fields.
-
B.
Yi
The Yi are one of China’s largest ethnic minority groups, with a distinct Tibeto-Burman language, traditional dress, and rich folk culture concentrated mainly in the mountainous regions of southwest China.
-
C.
Wei-kuo
Wei-kuo is the given name of Chiang Wei-kuo, a Chinese military officer and adopted son of Chiang Kai-shek who served in both German and later Republic of China forces.
-
D.
Zhou
Zhou is a common Chinese surname borne by many notable figures in Chinese history and politics.
-
E.
Kwang-chou
Kwang-chou is an alternative romanization of Guangzhou, the major port city and economic hub in southern China historically known in the West as Canton.
- 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: 韓 Triple: [State of Han, nativeName, 韓]
Generated description
韓 is the Chinese character used to denote the ancient State of Han, one of the Zhou dynasty vassal states during the Warring States period of Chinese history.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 韓 Target entity description: 韓 is the Chinese character used to denote the ancient State of Han, one of the Zhou dynasty vassal states during the Warring States period of Chinese history.
-
A.
Yi
Yi is a common Chinese given name shared by numerous historical and contemporary figures across politics, arts, and other fields.
-
B.
Yi
The Yi are one of China’s largest ethnic minority groups, with a distinct Tibeto-Burman language, traditional dress, and rich folk culture concentrated mainly in the mountainous regions of southwest China.
-
C.
Wei-kuo
Wei-kuo is the given name of Chiang Wei-kuo, a Chinese military officer and adopted son of Chiang Kai-shek who served in both German and later Republic of China forces.
-
D.
Zhou
Zhou is a common Chinese surname borne by many notable figures in Chinese history and politics.
-
E.
Kwang-chou
Kwang-chou is an alternative romanization of Guangzhou, the major port city and economic hub in southern China historically known in the West as Canton.
- 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_69ca82b42674819086840efea12478e5 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ff75d208190b7c53d2fe55878ac |
completed | March 31, 2026, 3:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63e1ed44819083ed9db6c9d7b0fd |
completed | April 1, 2026, 12:16 a.m. |
| NEDg | Description generation | batch_69cc651c5f788190908c6d84c58cba0f |
completed | April 1, 2026, 12:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc6649d2348190996802140b455348 |
completed | April 1, 2026, 12:26 a.m. |
Created at: March 30, 2026, 5:26 p.m.