Triple
T3739397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sharp Corporation |
E79661
|
entity |
| Predicate | keyPerson |
P256
|
FINISHED |
| Object |
Tai Jeng-wu
Tai Jeng-wu is a Taiwanese business executive best known for leading Sharp Corporation’s turnaround as its president.
|
E383935
|
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: Tai Jeng-wu | Statement: [Sharp Corporation, keyPerson, Tai Jeng-wu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tai Jeng-wu Context triple: [Sharp Corporation, keyPerson, Tai Jeng-wu]
-
A.
Yen Chia-kan
Yen Chia-kan was a Taiwanese politician who served as President of the Republic of China in the 1970s, overseeing a period of political transition following Chiang Kai-shek's death.
-
B.
Tsai Chao-chu
Tsai Chao-chu is the wife of Taiwanese chemist and Nobel laureate Yuan T. Lee.
-
C.
Chang Yung-fa
Chang Yung-fa was a Taiwanese shipping magnate and philanthropist best known as the billionaire founder of the Evergreen Group conglomerate.
-
D.
Tsai Chongxin
Tsai Chongxin, better known as Joe Tsai, is a Taiwanese-Canadian billionaire businessman and co-founder of Alibaba Group.
-
E.
Lin Gie-Ming
Lin Gie-Ming is the father of former NBA point guard Jeremy Lin, known for his Taiwanese heritage and influence on Jeremy’s upbringing and education.
- 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: Tai Jeng-wu Triple: [Sharp Corporation, keyPerson, Tai Jeng-wu]
Generated description
Tai Jeng-wu is a Taiwanese business executive best known for leading Sharp Corporation’s turnaround as its president.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tai Jeng-wu Target entity description: Tai Jeng-wu is a Taiwanese business executive best known for leading Sharp Corporation’s turnaround as its president.
-
A.
Yen Chia-kan
Yen Chia-kan was a Taiwanese politician who served as President of the Republic of China in the 1970s, overseeing a period of political transition following Chiang Kai-shek's death.
-
B.
Tsai Chao-chu
Tsai Chao-chu is the wife of Taiwanese chemist and Nobel laureate Yuan T. Lee.
-
C.
Chang Yung-fa
Chang Yung-fa was a Taiwanese shipping magnate and philanthropist best known as the billionaire founder of the Evergreen Group conglomerate.
-
D.
Tsai Chongxin
Tsai Chongxin, better known as Joe Tsai, is a Taiwanese-Canadian billionaire businessman and co-founder of Alibaba Group.
-
E.
Lin Gie-Ming
Lin Gie-Ming is the father of former NBA point guard Jeremy Lin, known for his Taiwanese heritage and influence on Jeremy’s upbringing and education.
- 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_69ad8b115610819095b02007da5ca3cb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb404b908190b6b4ee583dee3cc9 |
completed | March 8, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4db23ff3c81908d19295a7ce4a39c |
completed | March 14, 2026, 3:51 a.m. |
| NEDg | Description generation | batch_69b4dbabb314819092dbd1ece83a894c |
completed | March 14, 2026, 3:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4dc9b80f8819083074657a32798a4 |
completed | March 14, 2026, 3:57 a.m. |
Created at: March 8, 2026, 3:34 p.m.