Triple
T1104481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hallyu |
E25455
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Korean Wave |
E25455
|
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: Korean Wave | Statement: [Hallyu, alsoKnownAs, Korean Wave]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Korean Wave Context triple: [Hallyu, alsoKnownAs, Korean Wave]
-
A.
Hallyu
chosen
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.
-
B.
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.
-
C.
Korea Exchange
Korea Exchange is South Korea’s main securities and derivatives marketplace, serving as the country’s primary stock exchange for major companies such as Samsung.
-
D.
Korean film industry
The Korean film industry is a globally influential cinema sector known for its innovative storytelling, genre-blending films, and major contributions to the Korean Wave (Hallyu).
-
E.
BTS
BTS is the IATA airport code for M. R. Štefánik Airport, the main international airport serving Bratislava, Slovakia.
- 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_69a49428d4448190b3b36991ceae87ce |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b9e1047481909af1cf8df2a01fff |
completed | March 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac5391a4a88190b7ef6993b2b85b08 |
completed | March 7, 2026, 4:34 p.m. |
Created at: March 1, 2026, 7:43 p.m.