Triple
T13331106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Wu |
E317573
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object |
吳彥祖
吳彥祖是一位在香港影壇成名的美籍華人男演員、導演及製片人，以多部動作與文藝電影中的精湛演技和型男形象廣為人知。
|
E1035956
|
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: 吳彥祖 | Statement: [Daniel Wu, nativeName, 吳彥祖]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 吳彥祖 Context triple: [Daniel Wu, nativeName, 吳彥祖]
-
A.
羅家英
羅家英 is a veteran Hong Kong actor and Cantonese opera performer best known internationally for his comedic roles in films such as "A Chinese Odyssey."
-
B.
陳士駿
陳士駿 is a Taiwanese-American internet entrepreneur best known as a co-founder of the video-sharing platform YouTube.
-
C.
高錕
高錕是一位华裔物理学家和电机工程师，被誉为“光纤之父”，因在光纤通信领域的开创性贡献而获得诺贝尔物理学奖。
-
D.
陳德霖
陳德霖 is a Hong Kong banker and civil servant best known for serving as Chief Executive of the Hong Kong Monetary Authority.
-
E.
蔡鍔
蔡鍔 was a prominent early 20th-century Chinese general and revolutionary best known for leading the opposition to Yuan Shikai’s attempt to restore the monarchy.
- 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: 吳彥祖 Triple: [Daniel Wu, nativeName, 吳彥祖]
Generated description
吳彥祖是一位在香港影壇成名的美籍華人男演員、導演及製片人，以多部動作與文藝電影中的精湛演技和型男形象廣為人知。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 吳彥祖 Target entity description: 吳彥祖是一位在香港影壇成名的美籍華人男演員、導演及製片人，以多部動作與文藝電影中的精湛演技和型男形象廣為人知。
-
A.
羅家英
羅家英 is a veteran Hong Kong actor and Cantonese opera performer best known internationally for his comedic roles in films such as "A Chinese Odyssey."
-
B.
陳士駿
陳士駿 is a Taiwanese-American internet entrepreneur best known as a co-founder of the video-sharing platform YouTube.
-
C.
高錕
高錕是一位华裔物理学家和电机工程师，被誉为“光纤之父”，因在光纤通信领域的开创性贡献而获得诺贝尔物理学奖。
-
D.
陳德霖
陳德霖 is a Hong Kong banker and civil servant best known for serving as Chief Executive of the Hong Kong Monetary Authority.
-
E.
蔡鍔
蔡鍔 was a prominent early 20th-century Chinese general and revolutionary best known for leading the opposition to Yuan Shikai’s attempt to restore the monarchy.
- 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_69d806b4d62c81908d4ced1665414be5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9992fffa0819086610ae3bed2e2f9 |
completed | April 11, 2026, 12:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f329e148190a7741344b27ea663 |
completed | May 3, 2026, 10:10 a.m. |
| NEDg | Description generation | batch_69f7231e7f5881908dde74ad279362ed |
completed | May 3, 2026, 10:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f723a23524819082c15e048ebff350 |
completed | May 3, 2026, 10:29 a.m. |
Created at: April 9, 2026, 9:30 p.m.