Triple
T17025600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enter the Fat Dragon |
E413055
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Cheung Yiu-cho |
—
|
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: Cheung Yiu-cho | Statement: [Enter the Fat Dragon, cinematographyBy, Cheung Yiu-cho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cheung Yiu-cho Context triple: [Enter the Fat Dragon, cinematographyBy, Cheung Yiu-cho]
-
A.
Cheung Yiu-jo
chosen
Cheung Yiu-jo is a cinematographer best known for his work on the influential Hong Kong action film "Police Story."
-
B.
Chow Kwok-yan
Chow Kwok-yan is a person notable enough to be specifically distinguished among individuals with the surname Chow.
-
C.
Yuen Cheung-yan
Yuen Cheung-yan is a Hong Kong martial artist, actor, and action choreographer from the famed Yuen family, known for his influential work in classic kung fu cinema.
-
D.
Chow Kwok-hung
Chow Kwok-hung is a Hong Kong politician known for his involvement in local governance and public affairs.
-
E.
Chow Kwok-lun
Chow Kwok-lun is an individual notable enough to be specifically cited as a bearer of the surname Chow, though detailed public information about his life or achievements is limited.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d5d46a5081908bc5681621dd8534 |
completed | April 18, 2026, 7:04 p.m. |
Created at: April 10, 2026, 5:33 a.m.