Triple
T13750350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Byung-hun Lee |
E330333
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Byung-hun Lee |
E330333
|
NE FINISHED |
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: Byung-hun Lee | Statement: [Byung-hun Lee, name, Byung-hun Lee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Byung-hun Lee Context triple: [Byung-hun Lee, name, Byung-hun Lee]
-
A.
Byung-hun Lee
chosen
Byung-hun Lee is a prominent South Korean actor known internationally for his roles in both Korean cinema and Hollywood films, including major action and thriller productions.
-
B.
Jang Hoon
Jang Hoon is a South Korean film director known for commercially successful and critically acclaimed movies that blend genre entertainment with social and political themes.
-
C.
Yoon Je-moon
Yoon Je-moon is a South Korean actor known for his versatile performances in both critically acclaimed films and television dramas.
-
D.
Kim Hong-up
Kim Hong-up is a South Korean politician and lawyer best known as the son of former President and Nobel Peace Prize laureate Kim Dae-jung.
-
E.
Song Seung-whan
Song Seung-whan is a South Korean producer, director, and actor best known internationally for directing the opening and closing ceremonies of the 2018 PyeongChang Winter Olympics.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02148c208190a882927905a861a6 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a8560614819085958205637f3863 |
completed | May 3, 2026, 7:56 p.m. |
Created at: April 9, 2026, 10:08 p.m.