Triple
T21868578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hong Kong New Wave |
E539945
|
entity |
| Predicate | notableDirector |
P4744
|
FINISHED |
| Object | John Woo |
—
|
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: John Woo | Statement: [Hong Kong New Wave, notableDirector, John Woo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Woo Context triple: [Hong Kong New Wave, notableDirector, John Woo]
-
A.
John Woo
chosen
John Woo is a renowned Hong Kong-born film director and producer best known for his highly stylized action movies featuring balletic gunplay and intense emotional drama.
-
B.
John Woo Flick
"John Woo Flick" is a gritty, hard-hitting hip-hop track by Conway the Machine known for its cinematic, gunplay-laced lyricism and classic boom-bap production.
-
C.
Johnnie To
Johnnie To is a renowned Hong Kong film director and producer known for his stylish crime thrillers and influential work in contemporary Asian cinema.
-
D.
Tsui Hark
Tsui Hark is a pioneering Hong Kong filmmaker renowned for revolutionizing the action and wuxia genres with his visually inventive, high-energy directing style.
-
E.
Dennis Dun
Dennis Dun is an American actor best known for his roles in films like "Big Trouble in Little China" and "The Last Emperor," as well as various television appearances.
- 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_69e0c478f59081909d54302b57fc1ce3 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0f33305d081908cd070134420607a |
completed | April 28, 2026, 5:49 p.m. |
Created at: April 16, 2026, 6:57 p.m.