Triple
T21018888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Alert |
E517750
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Kiss FM |
—
|
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: Kiss FM | Statement: [Red Alert, associatedWith, Kiss FM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kiss FM Context triple: [Red Alert, associatedWith, Kiss FM]
-
A.
Kiss FM
chosen
Kiss FM is a popular radio station brand known for broadcasting contemporary hit music and dance tracks, often featuring prominent DJs and club culture programming.
-
B.
CKFM-FM
CKFM-FM is a Toronto-based Canadian radio station, best known as the contemporary hit music outlet branded as 99.9 Virgin Radio.
-
C.
Capital Radio
Capital Radio is a major London-based commercial radio station that became widely known in the 1970s and 1980s for its popular music programming and influential presenters.
-
D.
92.3 K-Rock
92.3 K-Rock was a well-known New York City rock radio brand associated with station WXRK, famous for its alternative and hard rock format and high-profile personalities.
-
E.
Melodía FM
Melodía FM is a Spanish radio station known for broadcasting a mix of classic and contemporary pop music hits.
- 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_69e0b50262b081909bc488937145eb73 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc5b6af4819081fd3aa5212f17a5 |
completed | April 21, 2026, 4:26 a.m. |
Created at: April 16, 2026, 1:54 p.m.