Triple
T5693513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lust, Caution |
E125480
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Joan Chen
Joan Chen is a Chinese-American actress and director known for her roles in films like "The Last Emperor" and the TV series "Twin Peaks."
|
E539300
|
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: Joan Chen | Statement: [Lust, Caution, castMember, Joan Chen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joan Chen Context triple: [Lust, Caution, castMember, Joan Chen]
-
A.
Nancy Kwan
Nancy Kwan is a pioneering Hong Kong–born actress who became an international star in the 1960s and a trailblazer for Asian representation in Hollywood and global cinema.
-
B.
Lai-Sang Young
Lai-Sang Young is a prominent mathematician known for her influential work in dynamical systems and ergodic theory.
-
C.
Rita Hsiao
Rita Hsiao is a screenwriter best known for her work on animated feature films, including co-writing Pixar's "Toy Story 2."
-
D.
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.
-
E.
Lily Chan
Lily Chan is the emotionally driven software engineer protagonist of the sci-fi TV series "Devs," whose investigation into her boyfriend’s death uncovers a secretive quantum computing project.
- 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: Joan Chen Triple: [Lust, Caution, castMember, Joan Chen]
Generated description
Joan Chen is a Chinese-American actress and director known for her roles in films like "The Last Emperor" and the TV series "Twin Peaks."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joan Chen Target entity description: Joan Chen is a Chinese-American actress and director known for her roles in films like "The Last Emperor" and the TV series "Twin Peaks."
-
A.
Nancy Kwan
Nancy Kwan is a pioneering Hong Kong–born actress who became an international star in the 1960s and a trailblazer for Asian representation in Hollywood and global cinema.
-
B.
Lai-Sang Young
Lai-Sang Young is a prominent mathematician known for her influential work in dynamical systems and ergodic theory.
-
C.
Rita Hsiao
Rita Hsiao is a screenwriter best known for her work on animated feature films, including co-writing Pixar's "Toy Story 2."
-
D.
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.
-
E.
Lily Chan
Lily Chan is the emotionally driven software engineer protagonist of the sci-fi TV series "Devs," whose investigation into her boyfriend’s death uncovers a secretive quantum computing project.
- 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_69c05a4f2bfc8190bc56c094f9ae9ce1 |
completed | March 22, 2026, 9:08 p.m. |
| NEDg | Description generation | batch_69c05bb76a748190a3b1a289dbd92dee |
completed | March 22, 2026, 9:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c05c498c4c8190bfa3ac17fba2b152 |
completed | March 22, 2026, 9:16 p.m. |
Created at: March 22, 2026, 3:44 p.m.