Triple
T16753926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WJZ-FM |
E407159
|
entity |
| Predicate | branding |
P1500
|
FINISHED |
| Object |
105.7 The Fan
105.7 The Fan is a Baltimore-area sports radio station known for its live sports talk, game coverage, and local sports programming.
|
E1231839
|
NE FINISHED |
How this triple was built (4 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: 105.7 The Fan | Statement: [WJZ-FM, branding, 105.7 The Fan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 105.7 The Fan Context triple: [WJZ-FM, branding, 105.7 The Fan]
-
A.
93.7 The Fan
93.7 The Fan is a Pittsburgh-based sports radio station known for its live game coverage, local sports talk, and affiliation with CBS Sports Radio.
-
B.
KFAN radio
KFAN radio is a Minneapolis–Saint Paul-based sports talk radio station known for its coverage of local teams and sports commentary.
-
C.
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.
-
D.
WNEW-FM
WNEW-FM was a pioneering New York City FM radio station best known for its influential progressive rock and later classic rock format.
-
E.
Sportsnet 590 The FAN
Sportsnet 590 The FAN is a Toronto-based all-sports radio station known for its comprehensive coverage of local teams and major sporting events.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: 105.7 The Fan Triple: [WJZ-FM, branding, 105.7 The Fan]
Generated description
105.7 The Fan is a Baltimore-area sports radio station known for its live sports talk, game coverage, and local sports programming.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 105.7 The Fan Target entity description: 105.7 The Fan is a Baltimore-area sports radio station known for its live sports talk, game coverage, and local sports programming.
-
A.
93.7 The Fan
93.7 The Fan is a Pittsburgh-based sports radio station known for its live game coverage, local sports talk, and affiliation with CBS Sports Radio.
-
B.
KFAN radio
KFAN radio is a Minneapolis–Saint Paul-based sports talk radio station known for its coverage of local teams and sports commentary.
-
C.
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.
-
D.
WNEW-FM
WNEW-FM was a pioneering New York City FM radio station best known for its influential progressive rock and later classic rock format.
-
E.
Sportsnet 590 The FAN
Sportsnet 590 The FAN is a Toronto-based all-sports radio station known for its comprehensive coverage of local teams and major sporting events.
- F. None of above. chosen
Provenance (5 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_69d8839174188190909f190097207065 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3aa28fd3c8190972e2e69ea7dece0 |
completed | April 18, 2026, 3:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a525e57881908e9e9453e6d6eb73 |
completed | May 10, 2026, 3:32 p.m. |
| NEDg | Description generation | batch_6a00a5b3ce848190a73f06d9708bfc85 |
completed | May 10, 2026, 3:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00a6734d008190bb0a5aa28826e73a |
completed | May 10, 2026, 3:38 p.m. |
Created at: April 10, 2026, 5:21 a.m.