Triple
T10390802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Detention |
E244886
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
David Kang
David Kang is a film and television producer best known for his work on the project "Detention."
|
E861536
|
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: David Kang | Statement: [Detention, producer, David Kang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Kang Context triple: [Detention, producer, David Kang]
-
A.
Michael Kang
Michael Kang is an American musician best known as a multi-instrumentalist and prominent member of the jam band The String Cheese Incident.
-
B.
Kenneth Choi
Kenneth Choi is an American actor known for his roles in television series such as "9-1-1" and films including "The Wolf of Wall Street" and "Spider-Man: Homecoming."
-
C.
Philip Ahn
Philip Ahn was a pioneering Korean American actor in Hollywood, known for his numerous film and television roles from the 1930s through the 1970s.
-
D.
Ken Kao
Ken Kao is an American film producer known for backing a range of independent and auteur-driven projects.
-
E.
David Kim
David Kim is a television producer best known for serving as an executive producer on the medical drama series "The Good Doctor."
- 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: David Kang Triple: [Detention, producer, David Kang]
Generated description
David Kang is a film and television producer best known for his work on the project "Detention."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: David Kang Target entity description: David Kang is a film and television producer best known for his work on the project "Detention."
-
A.
Michael Kang
Michael Kang is an American musician best known as a multi-instrumentalist and prominent member of the jam band The String Cheese Incident.
-
B.
Kenneth Choi
Kenneth Choi is an American actor known for his roles in television series such as "9-1-1" and films including "The Wolf of Wall Street" and "Spider-Man: Homecoming."
-
C.
Philip Ahn
Philip Ahn was a pioneering Korean American actor in Hollywood, known for his numerous film and television roles from the 1930s through the 1970s.
-
D.
Ken Kao
Ken Kao is an American film producer known for backing a range of independent and auteur-driven projects.
-
E.
David Kim
David Kim is a television producer best known for serving as an executive producer on the medical drama series "The Good Doctor."
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9b4f7d08190bcb16d3b4c8f22ad |
completed | April 7, 2026, 11:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fbae9a9c81908178fca68eb142b6 |
completed | April 9, 2026, 7:19 p.m. |
| NEDg | Description generation | batch_69d822d303888190aa556287b3b1cc03 |
completed | April 9, 2026, 10:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d859b05a3881908c97cb173d160e44 |
completed | April 10, 2026, 2 a.m. |
Created at: April 6, 2026, 12:06 p.m.