Triple
T13285914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bobby Sanabria |
E316442
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object |
WBGO
WBGO is a prominent public radio station based in Newark, New Jersey, widely recognized for its dedicated jazz programming and cultural coverage.
|
E1032512
|
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: WBGO | Statement: [Bobby Sanabria, employer, WBGO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WBGO Context triple: [Bobby Sanabria, employer, WBGO]
-
A.
WEPN-FM
WEPN-FM is a New York City sports radio station best known as ESPN New York 98.7 FM, featuring local and national sports talk programming.
-
B.
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.
-
C.
WBZ-FM
WBZ-FM is a Boston-area sports radio station known for its all-sports format and coverage of local professional teams.
-
D.
WJZ-FM
WJZ-FM is a Baltimore-based commercial radio station known for its sports and talk programming.
-
E.
WBLS
WBLS is a New York City-based urban adult contemporary radio station known for its influential programming and prominent on-air personalities.
- 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: WBGO Triple: [Bobby Sanabria, employer, WBGO]
Generated description
WBGO is a prominent public radio station based in Newark, New Jersey, widely recognized for its dedicated jazz programming and cultural coverage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WBGO Target entity description: WBGO is a prominent public radio station based in Newark, New Jersey, widely recognized for its dedicated jazz programming and cultural coverage.
-
A.
WEPN-FM
WEPN-FM is a New York City sports radio station best known as ESPN New York 98.7 FM, featuring local and national sports talk programming.
-
B.
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.
-
C.
WBZ-FM
WBZ-FM is a Boston-area sports radio station known for its all-sports format and coverage of local professional teams.
-
D.
WJZ-FM
WJZ-FM is a Baltimore-based commercial radio station known for its sports and talk programming.
-
E.
WBLS
WBLS is a New York City-based urban adult contemporary radio station known for its influential programming and prominent on-air personalities.
- 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990759ebc8190a9487a59e37a69e2 |
completed | April 11, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716d26a548190be15872154c9a942 |
completed | May 3, 2026, 9:35 a.m. |
| NEDg | Description generation | batch_69f7177e07508190b46e6a12f09e7986 |
completed | May 3, 2026, 9:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f717e72b988190927b628022bcbf12 |
completed | May 3, 2026, 9:39 a.m. |
Created at: April 9, 2026, 9:27 p.m.