Triple
T5333155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WGN Radio |
E123359
|
entity |
| Predicate | branding |
P1500
|
FINISHED |
| Object | 720 WGN |
E253579
|
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: 720 WGN | Statement: [WGN Radio, branding, 720 WGN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 720 WGN Context triple: [WGN Radio, branding, 720 WGN]
-
A.
WGN America
WGN America is a U.S.-based cable television network known for airing syndicated series, movies, and original programming to a national audience.
-
B.
WBBM-TV
WBBM-TV is the CBS-owned television station in Chicago that has served as a major local news outlet and early-career platform for prominent journalists such as Lester Holt.
-
C.
WLS-TV
WLS-TV is a major ABC-owned and operated television station serving the Chicago, Illinois media market.
-
D.
KYW-TV
KYW-TV is a CBS-owned-and-operated television station serving the Philadelphia, Pennsylvania market.
-
E.
WGN-TV
chosen
WGN-TV is a Chicago-based television station and former national superstation known for its local news, sports broadcasts, and syndicated 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_69bd46477f9081909d242a327d749466 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85ac8e10819088b6a9e02d927044 |
completed | March 20, 2026, 5:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf18baeca081909acc11d0c6c89f6d |
completed | March 21, 2026, 10:16 p.m. |
Created at: March 20, 2026, 2 p.m.