Triple
T20373440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murray the K |
E497630
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | WINS (AM) |
—
|
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: WINS (AM) | Statement: [Murray the K, employer, WINS (AM)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WINS (AM) Context triple: [Murray the K, employer, WINS (AM)]
-
A.
WINS (AM)
chosen
WINS (AM) is a New York City all-news radio station known for its 24-hour news format and the slogan "You give us 22 minutes, we'll give you the world."
-
B.
WLS (AM)
WLS (AM) is a historic Chicago-based AM radio station known for its influential role in American broadcasting, particularly in music and talk radio.
-
C.
WDNC
WDNC is the United States District Court for the Western District of North Carolina, a federal trial court within the Fourth Circuit.
-
D.
WOR (AM)
WOR (AM) is a long-running New York City talk radio station known for its news, talk, and syndicated programming.
-
E.
WBBM (AM)
WBBM (AM) is a major Chicago-based all-news radio station owned by Audacy, known for its continuous local and national news coverage.
- 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_69e0b4a5b7908190a972e4e7e698ae94 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678aad7b08190a710a75d6828b21e |
completed | April 20, 2026, 7:04 p.m. |
Created at: April 16, 2026, 11:27 a.m.