Triple
T14413277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skiptrace |
E357383
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Michael Wong
Michael Wong is a Hong Kong-based actor and singer known for his roles in action and crime films across Asian cinema.
|
E1098979
|
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: Michael Wong | Statement: [Skiptrace, starring, Michael Wong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Wong Context triple: [Skiptrace, starring, Michael 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.
Stephen Wong
Stephen Wong is a technology entrepreneur best known as a founder of the software company Embarcadero Technologies.
-
C.
Kenny Wong
Kenny Wong is an actor known for appearing in the action film "Expend4bles," part of the Expendables franchise.
-
D.
Marcus Wong
Marcus Wong is a Canadian municipal politician who serves as the mayor of West Vancouver, British Columbia.
-
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: Michael Wong Triple: [Skiptrace, starring, Michael Wong]
Generated description
Michael Wong is a Hong Kong-based actor and singer known for his roles in action and crime films across Asian cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Wong Target entity description: Michael Wong is a Hong Kong-based actor and singer known for his roles in action and crime films across Asian cinema.
-
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.
Stephen Wong
Stephen Wong is a technology entrepreneur best known as a founder of the software company Embarcadero Technologies.
-
C.
Kenny Wong
Kenny Wong is an actor known for appearing in the action film "Expend4bles," part of the Expendables franchise.
-
D.
Marcus Wong
Marcus Wong is a Canadian municipal politician who serves as the mayor of West Vancouver, British Columbia.
-
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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90cb3c708190822f5506ebf7ee9d |
completed | April 14, 2026, 7:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bc79c088190b6fd2984515976d7 |
completed | May 8, 2026, 3:43 a.m. |
| NEDg | Description generation | batch_69fd5e42d9288190ae966790ebab70ee |
completed | May 8, 2026, 3:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd5ec4499c81909d812ccf9429b612 |
completed | May 8, 2026, 3:55 a.m. |
Created at: April 10, 2026, 1:17 a.m.