Triple
T13872564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wu Lei |
E333490
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object |
吴磊
吴磊是一位中国内地男演员和歌手,因童星出道并在多部热门影视剧中的表现而广为人知。
|
E1065477
|
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: 吴磊 | Statement: [Wu Lei, nativeName, 吴磊]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 吴磊 Context triple: [Wu Lei, nativeName, 吴磊]
-
A.
彭昱畅
彭昱畅是一位中国内地男演员,以在青春片和喜剧作品中的自然演技和亲和力而受到广泛关注。
-
B.
Chen Yifei
Chen Yifei was a prominent Chinese painter and film director known for his romantic realist style and influential role in modern Chinese art.
-
C.
Lu Han
Lu Han was a prominent Chinese Nationalist general and warlord who controlled Yunnan province during the Republican era and played a key role in the Second Sino-Japanese War.
-
D.
Yuan Xiaoyuan
Yuan Xiaoyuan was a pioneering Chinese female diplomat and politician, recognized as one of the earliest women to serve in China’s foreign service.
-
E.
Feng Shaofeng
Feng Shaofeng is a Chinese actor known for his prominent roles in film and television, including the historical drama "Palace" and various high-profile period and fantasy productions.
- 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: 吴磊 Triple: [Wu Lei, nativeName, 吴磊]
Generated description
吴磊是一位中国内地男演员和歌手,因童星出道并在多部热门影视剧中的表现而广为人知。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 吴磊 Target entity description: 吴磊是一位中国内地男演员和歌手,因童星出道并在多部热门影视剧中的表现而广为人知。
-
A.
彭昱畅
彭昱畅是一位中国内地男演员,以在青春片和喜剧作品中的自然演技和亲和力而受到广泛关注。
-
B.
Chen Yifei
Chen Yifei was a prominent Chinese painter and film director known for his romantic realist style and influential role in modern Chinese art.
-
C.
Lu Han
Lu Han was a prominent Chinese Nationalist general and warlord who controlled Yunnan province during the Republican era and played a key role in the Second Sino-Japanese War.
-
D.
Yuan Xiaoyuan
Yuan Xiaoyuan was a pioneering Chinese female diplomat and politician, recognized as one of the earliest women to serve in China’s foreign service.
-
E.
Feng Shaofeng
Feng Shaofeng is a Chinese actor known for his prominent roles in film and television, including the historical drama "Palace" and various high-profile period and fantasy productions.
- 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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de05c638248190bbe5d19f7b88d0f9 |
completed | April 14, 2026, 9:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c107c20c81909dff0ca4a59fcc55 |
completed | May 3, 2026, 9:41 p.m. |
| NEDg | Description generation | batch_69f7c20da9448190b3167b091bd39b94 |
completed | May 3, 2026, 9:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7c2cc63148190b9ca2828abe54286 |
completed | May 3, 2026, 9:49 p.m. |
Created at: April 9, 2026, 10:14 p.m.