Triple
T10718553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Twice |
E252751
|
entity |
| Predicate | genre |
P14
|
FINISHED |
| Object | K-pop |
E24966
|
NE FINISHED |
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: K-pop | Statement: [Twice, genre, K-pop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: K-pop Context triple: [Twice, genre, K-pop]
-
A.
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.
-
B.
Hallyu
Hallyu, or the Korean Wave, is the global surge in popularity of South Korean pop culture, including K-pop, TV dramas, films, fashion, and beauty.
-
C.
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.
-
D.
J-pop
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.
-
E.
BTS
The Bureau of Transportation Statistics (BTS) is a U.S. federal agency that compiles, analyzes, and publishes data on the nation’s transportation systems to inform policy and decision-making.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6ff36558c81908682adbe7b5dce05 |
completed | April 9, 2026, 1:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbb71dd6f88190beb99ca75914fb09 |
completed | April 12, 2026, 3:15 p.m. |
Created at: April 8, 2026, 9:13 p.m.