Triple
T8130430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 陳平 |
E189839
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object |
王文華
王文華是一位華人姓名,常見於華語地區的人物與作家、學者等多種身分。
|
E713916
|
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: 王文華 | Statement: [陳平, nativeName, 王文華]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 王文華 Context triple: [陳平, nativeName, 王文華]
-
A.
蔣緯國
蔣緯國 was a Republic of China military officer and politician, known as an adopted son of Chiang Kai-shek and for his service in both German and Taiwanese armed forces.
-
B.
Hsu Yung-chang
Hsu Yung-chang was a Chinese military representative who took part in formalizing Japan’s World War II surrender by signing the Japanese Instrument of Surrender.
-
C.
Huang Chih-ming
Huang Chih-ming is a Taiwanese film producer best known for his work on the historical epic "Seediq Bale."
-
D.
Chang Yung-fa
Chang Yung-fa was a Taiwanese shipping magnate and philanthropist best known as the billionaire founder of the Evergreen Group conglomerate.
-
E.
Weng Wen-hao
Weng Wen-hao was a Chinese geologist and politician who briefly served as premier of the Republic of China during the late stages of the Chinese Civil War.
- 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: 王文華 Triple: [陳平, nativeName, 王文華]
Generated description
王文華是一位華人姓名,常見於華語地區的人物與作家、學者等多種身分。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 王文華 Target entity description: 王文華是一位華人姓名,常見於華語地區的人物與作家、學者等多種身分。
-
A.
蔣緯國
蔣緯國 was a Republic of China military officer and politician, known as an adopted son of Chiang Kai-shek and for his service in both German and Taiwanese armed forces.
-
B.
Hsu Yung-chang
Hsu Yung-chang was a Chinese military representative who took part in formalizing Japan’s World War II surrender by signing the Japanese Instrument of Surrender.
-
C.
Huang Chih-ming
Huang Chih-ming is a Taiwanese film producer best known for his work on the historical epic "Seediq Bale."
-
D.
Chang Yung-fa
Chang Yung-fa was a Taiwanese shipping magnate and philanthropist best known as the billionaire founder of the Evergreen Group conglomerate.
-
E.
Weng Wen-hao
Weng Wen-hao was a Chinese geologist and politician who briefly served as premier of the Republic of China during the late stages of the Chinese Civil War.
- 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_69ca82bcb4848190a9a9d036ad768642 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb43b7dbd881908a80f23090596eae |
completed | March 31, 2026, 3:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc947a7354819088c6f3cc6ab677cf |
completed | April 1, 2026, 3:43 a.m. |
| NEDg | Description generation | batch_69cc95c0b19881908521cce5ac0fe197 |
completed | April 1, 2026, 3:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc970698f88190a0869515904e50e3 |
completed | April 1, 2026, 3:54 a.m. |
Created at: March 30, 2026, 5:34 p.m.