Triple
T12877313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Face/Off |
E308001
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object | John Woo |
E237863
|
NE FINISHED |
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: [Face/Off, director, John Woo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Woo Context triple: [Face/Off, director, 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.
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.
-
C.
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.
-
D.
Kim Jee-woon
Kim Jee-woon is a South Korean film director and screenwriter known for his stylish, genre-spanning works such as "A Tale of Two Sisters," "A Bittersweet Life," and "I Saw the Devil."
-
E.
Richard LaGravenese
Richard LaGravenese is an American screenwriter and director known for his character-driven dramas and adaptations, including films like "The Fisher King," "The Bridges of Madison County," and "P.S. I Love You."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d970fa8474819086a8af3c90f3ca84 |
completed | April 10, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69bb83bac8190838f7537b806317c |
completed | May 3, 2026, 12:50 a.m. |
Created at: April 9, 2026, 5:38 p.m.