Triple
T21018892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Alert |
E517750
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | WBLS |
—
|
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: WBLS | Statement: [Red Alert, associatedWith, WBLS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WBLS Context triple: [Red Alert, associatedWith, WBLS]
-
A.
WBLS
chosen
WBLS is a New York City-based urban adult contemporary radio station known for its influential programming and prominent on-air personalities.
-
B.
WBEB
WBEB is a Philadelphia-based commercial radio station best known for its adult contemporary music format and branding as "B101."
-
C.
WCBS-FM
WCBS-FM is a New York City radio station best known for its classic hits format and long-running presence on the FM dial.
-
D.
WBZ-FM
WBZ-FM is a Boston-area sports radio station known for its all-sports format and coverage of local professional teams.
-
E.
WABC (AM)
WABC (AM) is a historic New York City radio station best known for its influential Top 40 music format and prominent personalities during the 1960s and 1970s.
- 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.