Triple
T18584057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 檜山修之 |
E454193
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | SLAM DUNK |
—
|
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: SLAM DUNK | Statement: [檜山修之, notableWork, SLAM DUNK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SLAM DUNK Context triple: [檜山修之, notableWork, SLAM DUNK]
-
A.
Slam Dunk
chosen
Slam Dunk is a popular Japanese sports manga and anime series by Takehiko Inoue that follows a high school basketball team’s rise to national prominence.
-
B.
Slam Dunk Ernest
Slam Dunk Ernest is a 1995 comedy film in the Ernest franchise, starring Jim Varney as the bumbling but well-meaning Ernest P. Worrell who gains magical basketball shoes.
-
C.
Kogo Sakusen
Kogo Sakusen is the Japanese name for Operation Kogo, a World War II military operation.
-
D.
Matashichi
Matashichi is one of the two bumbling peasants in Akira Kurosawa’s film "The Hidden Fortress," providing comic relief and a commoner’s perspective on the story’s epic events.
-
E.
Banshenchas
Banshenchas is a medieval Irish genealogical tract that records and organizes the pedigrees of notable Irish families and dynasties.
- 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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e543d200dc8190b8797d731f4e4865 |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 10, 2026, 11:44 a.m.