Triple
T22102459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joy (2015 film) |
E546203
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Ken Mok |
—
|
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: Ken Mok | Statement: [Joy (2015 film), producer, Ken Mok]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ken Mok Context triple: [Joy (2015 film), producer, Ken Mok]
-
A.
Ken Mok
chosen
Ken Mok is a television and film producer best known for creating and executive producing the reality competition series "America's Next Top Model."
-
B.
Philip Kwok
Philip Kwok is a Hong Kong martial arts actor and stuntman best known as a member of the Venom Mob in classic Shaw Brothers kung fu films.
-
C.
Stanley Fung
Stanley Fung is a Hong Kong actor and filmmaker best known as a member of the "Lucky Stars" ensemble in 1980s action-comedy films.
-
D.
Russell Wong
Russell Wong is an American actor and martial artist best known for his roles in action films and television series, often portraying skilled fighters or law enforcement characters.
-
E.
Edgar Cheng
Edgar Cheng is a prominent Hong Kong businessman and public figure known for his leadership roles in finance and civic affairs.
- 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129163b908190b63ace06016f4db8 |
completed | April 28, 2026, 9:39 p.m. |
Created at: April 16, 2026, 8:30 p.m.