Triple
T21868507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shaw Brothers Studio |
E539944
|
entity |
| Predicate | notableStar |
P4743
|
FINISHED |
| Object | Jimmy Wang Yu |
—
|
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: Jimmy Wang Yu | Statement: [Shaw Brothers Studio, notableStar, Jimmy Wang Yu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jimmy Wang Yu Context triple: [Shaw Brothers Studio, notableStar, Jimmy Wang Yu]
-
A.
Jimmy Wang Yu
chosen
Jimmy Wang Yu was a pioneering Taiwanese martial arts actor, director, and screenwriter best known for his influential roles in classic kung fu films such as "One-Armed Swordsman."
-
B.
Yuen Bun
Yuen Bun is a Hong Kong film actor and action director known for his work in martial arts and action cinema.
-
C.
Lau Kar‑leung
Lau Kar‑leung was a legendary Hong Kong martial arts film director, choreographer, and actor renowned for his work with Shaw Brothers Studio and his authentic kung fu cinema.
-
D.
Lee Ka Lau
Lee Ka Lau is a Canadian entrepreneur and engineer best known as a co-founder of the graphics chip company ATI Technologies.
-
E.
Lok Fu
Lok Fu is a residential neighborhood and transport hub in Hong Kong known for its public housing estates, shopping centre, and MTR station.
- 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.