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.