Triple
T4090526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sammo Hung |
E87691
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Sammy Hung |
E413067
|
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: Sammy Hung | Statement: [Sammo Hung, relative, Sammy Hung]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sammy Hung Context triple: [Sammo Hung, relative, Sammy Hung]
-
A.
Timmy Hung
chosen
Timmy Hung is a Hong Kong actor and television personality known for his work in film and TV as well as being the son of martial arts star Sammo Hung.
-
B.
Ronnie Chan
Ronnie Chan is a Hong Kong billionaire businessman and philanthropist best known as the chairman of Hang Lung Group and for his prominent role in property development and higher-education philanthropy.
-
C.
Leslie Chow
Leslie Chow is a wildly eccentric, foul-mouthed, and unpredictable gangster character from The Hangover film series, known for his outrageous antics and chaotic energy.
-
D.
Savio Kwan
Savio Kwan is a business executive best known for his leadership roles at Alibaba Group, where he helped guide the company’s early growth and international expansion.
-
E.
Alex Tse
Alex Tse is an American screenwriter and producer best known for co-writing the film adaptation of the graphic novel "Watchmen."
- 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_69aed94425148190be337845d56fac22 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefcab0a1c8190a1b0ca48ebc95b31 |
completed | March 9, 2026, 5 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5769e8b188190a6356c325d0551ea |
completed | March 14, 2026, 2:54 p.m. |
Created at: March 9, 2026, 3:39 p.m.