Triple
T20975176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cho Yo-han |
E516605
|
entity |
| Predicate | portrayed |
P1668
|
FINISHED |
| Object | David Kim |
—
|
NE NERFINISHED |
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: David Kim | Statement: [Cho Yo-han, portrayed, David Kim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Kim Context triple: [Cho Yo-han, portrayed, David Kim]
-
A.
David Kim
David Kim is a television producer best known for serving as an executive producer on the medical drama series "The Good Doctor."
-
B.
David Kim
David Kim is the protagonist of the comic book series "Xombi," a man transformed into an immortal nanotech-enhanced being who battles supernatural and occult threats.
-
C.
David Kim
chosen
David Kim is the desperate father and central protagonist in the thriller film "Searching," who conducts a digital investigation across his missing daughter's online life.
-
D.
Brian H. Kim
Brian H. Kim is a film and television composer known for creating scores for independent features and comedy-dramas such as "Hello, My Name Is Doris."
-
E.
Hong Kim
Hong Kim is a film producer known for working on the animated feature "The Nut Job."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4fee5ac8190875fa9ceba1a5e5e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fba307d88190b728544d1b6d0bb6 |
completed | April 21, 2026, 4:22 a.m. |
Created at: April 16, 2026, 1:46 p.m.