Triple
T23484445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lee Dong-hwi |
E570494
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Big Bet |
—
|
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: Big Bet | Statement: [Lee Dong-hwi, notableWork, Big Bet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Big Bet Context triple: [Lee Dong-hwi, notableWork, Big Bet]
-
A.
Big Bet
chosen
Big Bet is a South Korean crime drama television series centered on a notorious casino kingpin in the Philippines, known for its gritty storytelling and strong performances.
-
B.
The Jackpot
"The Jackpot" is a 1950 American comedy film starring James Stewart as a man whose life is upended after winning a radio quiz show’s massive prize haul.
-
C.
The Mega Bucks
The Mega Bucks were a villainous professional wrestling tag team in the WWF, most notably feuding with the popular duo known as The Mega Powers in the late 1980s.
-
D.
Jackpot
"Jackpot" is a lesser-known work of American author Erskine Caldwell, who is best recognized for his gritty depictions of Southern life and social issues.
-
E.
Jackpot
Jackpot is a small unincorporated casino and resort town in northeastern Nevada, known as a popular gambling destination near the Idaho border.
- 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_69e245b0b01481908f636939bedd804c |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a752c678819087e5c50b8cf87d3d |
completed | April 29, 2026, 6:38 a.m. |
Created at: April 17, 2026, 6:03 p.m.