Triple
T23436162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bad and Crazy |
E563465
|
entity |
| Predicate | originalTitle |
P65
|
FINISHED |
| Object | 배드 앤 크레이지 |
—
|
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: 배드 앤 크레이지 | Statement: [Bad and Crazy, originalTitle, 배드 앤 크레이지]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 배드 앤 크레이지 Context triple: [Bad and Crazy, originalTitle, 배드 앤 크레이지]
-
A.
Bad and Crazy
chosen
Bad and Crazy is a South Korean action-fantasy drama series that blends crime investigation with dark humor and a split-personality vigilante hero.
-
B.
The Crazy Ones
The Crazy Ones is an American workplace sitcom starring Robin Williams and Sarah Michelle Gellar as a quirky father-daughter duo running an advertising agency.
-
C.
Craze
Craze is an English surname most notably associated with actor Michael Craze, known for his role in the classic television series Doctor Who.
-
D.
C.R.A.Z.Y.
C.R.A.Z.Y. is a 2005 Quebecois coming-of-age drama film that follows a young man’s struggle with identity, family, and sexuality across several decades, directed by Jean-Marc Vallée.
-
E.
Good to Be Bad
Good to Be Bad is a 2008 hard rock studio album by British band Whitesnake, marking their return with new material after a long hiatus.
- 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_69e24553980c8190bb66a2ae0bdab125 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a5dbdf248190a09e971f2718d01f |
completed | April 29, 2026, 6:31 a.m. |
Created at: April 17, 2026, 5:50 p.m.