Triple
T5388430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DJ Red Alert |
E120261
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Hot 97 |
E517749
|
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: Hot 97 | Statement: [DJ Red Alert, associatedWith, Hot 97]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hot 97 Context triple: [DJ Red Alert, associatedWith, Hot 97]
-
A.
Hot 97
chosen
Hot 97 is a New York City-based radio station renowned as a pioneering and influential hub for hip hop and R&B music and culture.
-
B.
iHeartRadio
iHeartRadio is a free broadcast and internet radio platform that offers live radio stations, music playlists, and podcasts across the United States and beyond.
-
C.
Kiss FM
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.
-
D.
WBLS
WBLS is a New York City-based urban adult contemporary radio station known for its influential programming and prominent on-air personalities.
-
E.
SiriusXM
SiriusXM is a satellite and online radio broadcasting company in North America that offers a wide range of music, sports, news, and talk channels by subscription.
- 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_69bd46354c648190a38b26f107010a96 |
completed | March 20, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69bd871573b48190aa60871be56847ae |
completed | March 20, 2026, 5:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf411b7a808190a15ef1936a5fcfb6 |
completed | March 22, 2026, 1:08 a.m. |
Created at: March 20, 2026, 2:04 p.m.