Triple
T22023220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kim's Convenience |
E543892
|
entity |
| Predicate | mainCastMember |
P5563
|
FINISHED |
| Object |
Andrew Phung
Andrew Phung is a Canadian actor and comedian best known for his award-winning role as the enthusiastic and lovable Kimchee on the sitcom "Kim's Convenience."
|
E1514223
|
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: Andrew Phung | Statement: [Kim's Convenience, mainCastMember, Andrew Phung]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrew Phung Context triple: [Kim's Convenience, mainCastMember, Andrew Phung]
-
A.
Linh-Dan Pham
Linh-Dan Pham is a Vietnamese-born French actress known for her acclaimed performances in European cinema, including her role in the award-winning film "The Beat That My Heart Skipped."
-
B.
Bao Nguyen
Bao Nguyen is a Vietnamese American filmmaker known for his acclaimed documentaries and contributions to Asian American and international cinema.
-
C.
Oanh Nguyen
Oanh Nguyen is an actor known for appearing in the film "Two Brothers."
-
D.
Tung Thanh Tran
Tung Thanh Tran is an actor best known for his role in the 1987 war-comedy film "Good Morning, Vietnam."
-
E.
Quyen Tran
Quyen Tran is an American cinematographer known for her visually expressive work on independent films and character-driven stories.
- 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: Andrew Phung Triple: [Kim's Convenience, mainCastMember, Andrew Phung]
Generated description
Andrew Phung is a Canadian actor and comedian best known for his award-winning role as the enthusiastic and lovable Kimchee on the sitcom "Kim's Convenience."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Andrew Phung Target entity description: Andrew Phung is a Canadian actor and comedian best known for his award-winning role as the enthusiastic and lovable Kimchee on the sitcom "Kim's Convenience."
-
A.
Linh-Dan Pham
Linh-Dan Pham is a Vietnamese-born French actress known for her acclaimed performances in European cinema, including her role in the award-winning film "The Beat That My Heart Skipped."
-
B.
Bao Nguyen
Bao Nguyen is a Vietnamese American filmmaker known for his acclaimed documentaries and contributions to Asian American and international cinema.
-
C.
Oanh Nguyen
Oanh Nguyen is an actor known for appearing in the film "Two Brothers."
-
D.
Tung Thanh Tran
Tung Thanh Tran is an actor best known for his role in the 1987 war-comedy film "Good Morning, Vietnam."
-
E.
Quyen Tran
Quyen Tran is an American cinematographer known for her visually expressive work on independent films and character-driven stories.
- 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_69e11e2e8ea4819084210fe06d3a1b8d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127c9959481908da6bed356199f75 |
completed | April 28, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a738722a88190898c5fc5f37e5b5d |
completed | May 18, 2026, 2:03 a.m. |
| NEDg | Description generation | batch_6a0a745e534881909a681b9f2234afa5 |
completed | May 18, 2026, 2:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a7857e6dc819088b592cdff7d4cf3 |
completed | May 18, 2026, 2:24 a.m. |
Created at: April 16, 2026, 8:23 p.m.