Triple
T21431990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenneth Choi |
E528709
|
entity |
| Predicate | playedCharacter |
P1507
|
FINISHED |
| Object | Chester Ming |
—
|
NE NERFINISHED |
How this triple was built (3 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: Chester Ming | Statement: [Kenneth Choi, playedCharacter, Chester Ming]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chester Ming Context triple: [Kenneth Choi, playedCharacter, Chester Ming]
-
A.
Cecil Chao
Cecil Chao is a Hong Kong billionaire property developer best known internationally for offering large monetary rewards to any man who could successfully marry his lesbian daughter.
-
B.
Alfred Chuang
Alfred Chuang is a Chinese-American technology entrepreneur best known as the co-founder and former CEO of enterprise software company BEA Systems.
-
C.
Ming Lee
Ming Lee is the strict yet loving mother of protagonist Meilin in Pixar's animated film "Turning Red," whose own emotional struggles and family legacy drive much of the story's conflict and heart.
-
D.
Paul Chun
Paul Chun is a veteran Hong Kong actor known for his prolific film and television career, often portraying authoritative or paternal figures.
-
E.
Charlie Chin
Charlie Chin is a Taiwanese actor best known as one of the leading "Qiong Yao film" idols of the 1970s and 1980s, frequently appearing in romantic dramas across Chinese-language cinema.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chester Ming Target entity description: Chester Ming is a fictional, flamboyant and foul-mouthed stockbroker character from the film "The Wolf of Wall Street."
-
A.
Cecil Chao
Cecil Chao is a Hong Kong billionaire property developer best known internationally for offering large monetary rewards to any man who could successfully marry his lesbian daughter.
-
B.
Alfred Chuang
Alfred Chuang is a Chinese-American technology entrepreneur best known as the co-founder and former CEO of enterprise software company BEA Systems.
-
C.
Ming Lee
Ming Lee is the strict yet loving mother of protagonist Meilin in Pixar's animated film "Turning Red," whose own emotional struggles and family legacy drive much of the story's conflict and heart.
-
D.
Paul Chun
Paul Chun is a veteran Hong Kong actor known for his prolific film and television career, often portraying authoritative or paternal figures.
-
E.
Charlie Chin
Charlie Chin is a Taiwanese actor best known as one of the leading "Qiong Yao film" idols of the 1970s and 1980s, frequently appearing in romantic dramas across Chinese-language cinema.
- F. None of above. chosen
Provenance (2 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_69e0c455f3688190810bc96365791b0f |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b3ec70f08190b84c4f747cfb290f |
completed | April 22, 2026, 11:41 a.m. |
Created at: April 16, 2026, 5:50 p.m.