Triple
T17075273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hung Kam-bo |
E414330
|
entity |
| Predicate | workedWith |
P398
|
FINISHED |
| Object | Donnie Yen |
—
|
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: Donnie Yen | Statement: [Hung Kam-bo, workedWith, Donnie Yen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donnie Yen Context triple: [Hung Kam-bo, workedWith, Donnie Yen]
-
A.
Donnie Yen
chosen
Donnie Yen is a renowned Hong Kong actor and martial artist celebrated for his dynamic action roles and innovative fight choreography in films such as the Ip Man series.
-
B.
Gordon Liu
Gordon Liu is a renowned Hong Kong martial arts actor and kung fu film star, best known for classics like "The 36th Chamber of Shaolin" and his roles in Quentin Tarantino's "Kill Bill" films.
-
C.
Bolo Yeung
Bolo Yeung is a Hong Kong martial artist, bodybuilder, and actor best known for playing imposing villains in classic kung fu films such as "Enter the Dragon" and "Bloodsport."
-
D.
Ling Woo
Ling Woo is a sharp-tongued, unapologetically confident attorney on the television series "Ally McBeal," known for her icy demeanor, wit, and complex relationship dynamics.
-
E.
Man Choi
Man Choi is a bumbling yet brave Taoist disciple and comic sidekick in the Hong Kong horror-comedy film "Mr. Vampire."
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbc47808819088a4ca039689b213 |
completed | April 18, 2026, 7:30 p.m. |
Created at: April 10, 2026, 5:34 a.m.