Triple
T7951636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | America's Next Top Model |
E184627
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Ken Mok |
E571342
|
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: Ken Mok | Statement: [America's Next Top Model, executiveProducer, Ken Mok]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ken Mok Context triple: [America's Next Top Model, executiveProducer, 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.
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.
-
C.
Donald Tsang
Donald Tsang is a Hong Kong politician who served as the second Chief Executive of Hong Kong from 2005 to 2012.
-
D.
Stanley Tang
Stanley Tang is a technology entrepreneur best known as a co-founder of the food delivery platform DoorDash.
-
E.
Ronald Cheng
Ronald Cheng is a Hong Kong actor and Cantopop singer known for his comedic film roles and successful music career.
- 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_69ca8292cba881908a64427b938dac47 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b5c95908190b6ee900d2b324574 |
completed | March 31, 2026, 3:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe0530b8881908e35b10917e69899 |
completed | March 31, 2026, 2:55 p.m. |
Created at: March 30, 2026, 5:10 p.m.