Triple

T5693511
Position Surface form Disambiguated ID Type / Status
Subject Lust, Caution E125480 entity
Predicate castMember P1668 FINISHED
Object 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."
E544135 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: Tang Wei | Statement: [Lust, Caution, castMember, Tang Wei]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tang Wei
Context triple: [Lust, Caution, castMember, Tang Wei]
  • A. Zhang Ziyi
    Zhang Ziyi is a renowned Chinese actress known internationally for her roles in films such as "Crouching Tiger, Hidden Dragon," "Hero," and "Memoirs of a Geisha."
  • 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. Tang Yifei
    Tang Yifei is a Chinese actress known for her roles in television dramas and films.
  • D. Li Xiuzhen
    Li Xiuzhen was the wife of prominent Chinese military leader and politician Li Zongren, who served as acting president of the Republic of China in the mid-20th century.
  • E. Bai Ling
    Bai Ling is a Chinese-American actress known for her eccentric persona and roles in films such as "The Crow," "Red Corner," and various independent and genre movies.
  • 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: Tang Wei
Triple: [Lust, Caution, castMember, Tang Wei]
Generated description
Tang Wei is a Chinese actress best known internationally for her breakout leading role in Ang Lee’s espionage thriller film "Lust, Caution."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tang Wei
Target entity description: Tang Wei is a Chinese actress best known internationally for her breakout leading role in Ang Lee’s espionage thriller film "Lust, Caution."
  • A. Zhang Ziyi
    Zhang Ziyi is a renowned Chinese actress known internationally for her roles in films such as "Crouching Tiger, Hidden Dragon," "Hero," and "Memoirs of a Geisha."
  • 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. Tang Yifei
    Tang Yifei is a Chinese actress known for her roles in television dramas and films.
  • D. Li Xiuzhen
    Li Xiuzhen was the wife of prominent Chinese military leader and politician Li Zongren, who served as acting president of the Republic of China in the mid-20th century.
  • E. Bai Ling
    Bai Ling is a Chinese-American actress known for her eccentric persona and roles in films such as "The Crow," "Red Corner," and various independent and genre movies.
  • 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_69c0082bb19c8190823a4facd3cba79b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023e7dbe48190850b501f223614e3 completed March 22, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07dd76f008190970c3b17ec8cbfd8 completed March 22, 2026, 11:40 p.m.
NEDg Description generation batch_69c08cf206188190a4e5bb2649d97be9 completed March 23, 2026, 12:44 a.m.
NED2 Entity disambiguation (via description) batch_69c08dc4d12c8190a7a245d583ef08d4 completed March 23, 2026, 12:48 a.m.
Created at: March 22, 2026, 3:44 p.m.