Triple
T7771674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ma Sichun |
E179087
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object |
马思纯
马思纯是中国内地女演员,凭借电影《七月与安生》获得金马奖最佳女主角而广为人知。
|
E686779
|
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: 马思纯 | Statement: [Ma Sichun, nativeName, 马思纯]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 马思纯 Context triple: [Ma Sichun, nativeName, 马思纯]
-
A.
马佳
马佳 is a rare Chinese compound surname historically associated with Manchu and other ethnic lineages in China.
-
B.
Zhang Ruji
Zhang Ruji was a Chinese military officer and notable graduate of the Yunnan Military Academy who participated in early 20th-century military and political affairs in China.
-
C.
He Yiting
He Yiting is a notable individual bearing the Chinese surname He, recognized for their prominence in contemporary Chinese society.
-
D.
Tang Wei
Tang Wei is a Chinese actress best known internationally for her breakout leading role in Ang Lee’s espionage thriller film "Lust, Caution."
-
E.
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.
- 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: 马思纯 Triple: [Ma Sichun, nativeName, 马思纯]
Generated description
马思纯是中国内地女演员,凭借电影《七月与安生》获得金马奖最佳女主角而广为人知。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 马思纯 Target entity description: 马思纯是中国内地女演员,凭借电影《七月与安生》获得金马奖最佳女主角而广为人知。
-
A.
马佳
马佳 is a rare Chinese compound surname historically associated with Manchu and other ethnic lineages in China.
-
B.
Zhang Ruji
Zhang Ruji was a Chinese military officer and notable graduate of the Yunnan Military Academy who participated in early 20th-century military and political affairs in China.
-
C.
He Yiting
He Yiting is a notable individual bearing the Chinese surname He, recognized for their prominence in contemporary Chinese society.
-
D.
Tang Wei
Tang Wei is a Chinese actress best known internationally for her breakout leading role in Ang Lee’s espionage thriller film "Lust, Caution."
-
E.
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.
- 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_69c69f30602c819082ab52cd4af5c592 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c7045ebae88190a04c8f972795e615 |
completed | March 27, 2026, 10:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7ead45c8190847365d8549eefab |
completed | March 29, 2026, 6:34 a.m. |
| NEDg | Description generation | batch_69c8c83be35481908fe672c4ad6885a0 |
completed | March 29, 2026, 6:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8c8a317d08190a34be81f78237e46 |
completed | March 29, 2026, 6:37 a.m. |
Created at: March 27, 2026, 4:11 p.m.