Triple
T19336269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reunion (1989 film) |
E483631
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Burt Kwouk |
—
|
NE NERFINISHED |
How this triple was built (2 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: Burt Kwouk | Statement: [Reunion (1989 film), castMember, Burt Kwouk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burt Kwouk Context triple: [Reunion (1989 film), castMember, Burt Kwouk]
-
A.
Burt Kwouk
chosen
Burt Kwouk was a British actor best known for his comedic role as Cato Fong in the Pink Panther film series.
-
B.
Herb Wong
Herb Wong is a jazz educator, producer, and longtime radio broadcaster known for his influential role in promoting and documenting West Coast jazz.
-
C.
Eddie Wu
Eddie Wu is a Chinese entrepreneur and technology executive best known as a co-founder and later CEO of Alibaba Group.
-
D.
Victor Sen Yung
Victor Sen Yung was a Chinese American character actor best known for his roles as Hop Sing on the television series "Bonanza" and as Jimmy Chan in the Charlie Chan film series.
-
E.
Joseph Sung
Joseph Sung is a prominent Hong Kong physician and academic best known for his leadership during the SARS outbreak and for serving as Vice-Chancellor of the Chinese University of Hong Kong.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e61645c0dc8190b64e15c735bcb9f4 |
completed | April 20, 2026, 12:04 p.m. |
Created at: April 10, 2026, 1:33 p.m.