Triple
T5388377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DJ Enuff |
E120259
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Hot 97 (WQHT-FM) |
E328370
|
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 (WQHT-FM) | Statement: [DJ Enuff, employer, Hot 97 (WQHT-FM)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hot 97 (WQHT-FM) Context triple: [DJ Enuff, employer, Hot 97 (WQHT-FM)]
-
A.
Hot 97
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.
WQHT
chosen
WQHT is a New York City-based hip hop radio station, widely known by its brand name Hot 97.
-
C.
WBLS
WBLS is a New York City-based urban adult contemporary radio station known for its influential programming and prominent on-air personalities.
-
D.
WFAN (AM)
WFAN (AM) is a New York City-based sports radio station widely recognized as one of the first and most influential all-sports talk stations in the United States.
-
E.
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.
- 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_69bf3a997ad08190acfdd7cc1b396262 |
completed | March 22, 2026, 12:40 a.m. |
Created at: March 20, 2026, 2:04 p.m.