Triple
T22837607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Bet |
E565988
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Lee Kyu-hyung |
—
|
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: Lee Kyu-hyung | Statement: [Big Bet, starring, Lee Kyu-hyung]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lee Kyu-hyung Context triple: [Big Bet, starring, Lee Kyu-hyung]
-
A.
Lee Kyu-hyung
chosen
Lee Kyu-hyung is a South Korean actor known for his versatile performances in television dramas, films, and theater.
-
B.
Lee Jun-hyuk
Lee Jun-hyuk is a South Korean actor known for his roles in television dramas and films, including the fantasy blockbuster series "Along with the Gods."
-
C.
Kim Woo-hyung
Kim Woo-hyung is a South Korean cinematographer known for his work on notable films including the historical thriller "Assassination."
-
D.
Kim Tae-hyung
Kim Tae-hyung is a South Korean film director best known for his work in the horror and thriller genres.
-
E.
Cho Yong-hyung
Cho Yong-hyung is a South Korean former professional footballer known for his role as a central defender and his appearances with the South Korean national team, including at the FIFA World Cup.
- 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_69e245869e188190a196584f36e682da |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e303cec81909c5c118dc8c93354 |
completed | April 29, 2026, 3:42 a.m. |
Created at: April 17, 2026, 3:35 p.m.