Triple
T17405263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Denzil |
E423196
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Denzil Minnan-Wong
Denzil Minnan-Wong is a Canadian politician best known for serving as a long-time Toronto city councillor and deputy mayor.
|
E1267224
|
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: Denzil Minnan-Wong | Statement: [Denzil, hasNotableBearer, Denzil Minnan-Wong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Denzil Minnan-Wong Context triple: [Denzil, hasNotableBearer, Denzil Minnan-Wong]
-
A.
Kenny Wong
Kenny Wong is an actor known for appearing in the action film "Expend4bles," part of the Expendables franchise.
-
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.
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."
-
D.
Michael Wong
Michael Wong is a Hong Kong-based actor and singer known for his roles in action and crime films across Asian cinema.
-
E.
Alvin Leong
Alvin Leong is a music producer known for his work on the song "Shall We Talk."
- 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: Denzil Minnan-Wong Triple: [Denzil, hasNotableBearer, Denzil Minnan-Wong]
Generated description
Denzil Minnan-Wong is a Canadian politician best known for serving as a long-time Toronto city councillor and deputy mayor.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Denzil Minnan-Wong Target entity description: Denzil Minnan-Wong is a Canadian politician best known for serving as a long-time Toronto city councillor and deputy mayor.
-
A.
Kenny Wong
Kenny Wong is an actor known for appearing in the action film "Expend4bles," part of the Expendables franchise.
-
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.
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."
-
D.
Michael Wong
Michael Wong is a Hong Kong-based actor and singer known for his roles in action and crime films across Asian cinema.
-
E.
Alvin Leong
Alvin Leong is a music producer known for his work on the song "Shall We Talk."
- 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_69d889d7d27c819088486ce3f0627fa1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43b0750688190bb123634d7c7273e |
completed | April 19, 2026, 2:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01a7f9bc508190aeae98b45c002d75 |
completed | May 11, 2026, 9:57 a.m. |
| NEDg | Description generation | batch_6a01a898ceb48190ba3d40c898b17158 |
completed | May 11, 2026, 9:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01a9183410819083c8239e3ce38ea2 |
completed | May 11, 2026, 10:02 a.m. |
Created at: April 10, 2026, 5:45 a.m.