Triple
T21722646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arashi |
E536198
|
entity |
| Predicate | genre |
P14
|
FINISHED |
| Object | J-pop |
—
|
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: J-pop | Statement: [Arashi, genre, J-pop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: J-pop Context triple: [Arashi, genre, J-pop]
-
A.
J-pop
chosen
J-pop is a genre of Japanese popular music known for its catchy melodies, polished production, and strong influence on contemporary Asian pop cultures and idol industries.
-
B.
Mandopop
Mandopop is a style of popular music performed in Mandarin Chinese, encompassing a wide range of contemporary pop genres across the Chinese-speaking world.
-
C.
K-pop
K-pop is a genre of popular music originating from South Korea, characterized by its polished production, synchronized choreography, and highly stylized idol groups with global fanbases.
-
D.
KPOP
KPOP was a former radio station call sign in the United States, most notably associated with an AM station in Los Angeles that featured various music and talk formats over its history.
-
E.
SNEP
SNEP is the French national music industry association that represents record labels and producers and oversees major music awards and charts in France.
- 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd97032c08190820b87a288e77293 |
completed | April 27, 2026, 9:47 p.m. |
Created at: April 16, 2026, 6:47 p.m.