Triple
T20248103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Close Enough |
E498477
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object |
Calvin Wong
Calvin Wong is a television producer best known for his executive production work on the animated series "Close Enough."
|
E1421109
|
NE FINISHED |
How this triple was built (4 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: Calvin Wong | Statement: [Close Enough, executiveProducer, Calvin Wong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Calvin Wong Context triple: [Close Enough, executiveProducer, Calvin Wong]
-
A.
Victor Wong
Victor Wong was an American character actor known for his distinctive presence in films such as "The Last Emperor," "Big Trouble in Little China," and "Tremors."
-
B.
Michael Wong
Michael Wong is a Hong Kong-based actor and singer known for his roles in action and crime films across Asian cinema.
-
C.
Alan Leong
Alan Leong is a Hong Kong barrister and pro-democracy politician known for his leadership in the Civic Party and his candidacy in the 2007 Chief Executive election.
-
D.
Matthew Chuang
Matthew Chuang is a cinematographer known for his visually distinctive work on the film "Blue Bayou."
-
E.
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.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Calvin Wong Triple: [Close Enough, executiveProducer, Calvin Wong]
Generated description
Calvin Wong is a television producer best known for his executive production work on the animated series "Close Enough."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Calvin Wong Target entity description: Calvin Wong is a television producer best known for his executive production work on the animated series "Close Enough."
-
A.
Victor Wong
Victor Wong was an American character actor known for his distinctive presence in films such as "The Last Emperor," "Big Trouble in Little China," and "Tremors."
-
B.
Michael Wong
Michael Wong is a Hong Kong-based actor and singer known for his roles in action and crime films across Asian cinema.
-
C.
Alan Leong
Alan Leong is a Hong Kong barrister and pro-democracy politician known for his leadership in the Civic Party and his candidacy in the 2007 Chief Executive election.
-
D.
Matthew Chuang
Matthew Chuang is a cinematographer known for his visually distinctive work on the film "Blue Bayou."
-
E.
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.
- F. None of above. chosen
Provenance (5 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_69da6274c58c81909c646eabed6f4f30 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e673a5ce4081908dff86ed4c613fd6 |
completed | April 20, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08552409988190978640c4190dccd3 |
completed | May 16, 2026, 11:29 a.m. |
| NEDg | Description generation | batch_6a0856ac50e081909c8bc737e4fe6e56 |
completed | May 16, 2026, 11:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a085746f2f08190a703a832f5867c7b |
completed | May 16, 2026, 11:38 a.m. |
Created at: April 11, 2026, 11:40 p.m.