Triple
T3125262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wendy Williams |
E65281
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object |
WBLS
WBLS is a New York City-based urban adult contemporary radio station known for its influential programming and prominent on-air personalities.
|
E328368
|
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: WBLS | Statement: [Wendy Williams, employer, WBLS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WBLS Context triple: [Wendy Williams, employer, WBLS]
-
A.
WBZ-FM
WBZ-FM is a Boston-area sports radio station known for its all-sports format and coverage of local professional teams.
-
B.
WCBS (AM)
WCBS (AM) is a New York City all-news radio station owned by Audacy, known for its continuous local, national, and international news coverage.
-
C.
WBZ (AM)
WBZ (AM) is a historic Boston-based AM radio station known for its news, talk, and sports programming and status as one of the oldest broadcast stations in the United States.
-
D.
WEEI-FM
WEEI-FM is a Boston-based sports radio station best known as a flagship broadcaster for Boston Red Sox games and related sports talk programming.
-
E.
WEAG
WEAG is a former European intergovernmental forum that coordinated armaments cooperation and defense equipment collaboration among Western European nations.
- 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: WBLS Triple: [Wendy Williams, employer, WBLS]
Generated description
WBLS is a New York City-based urban adult contemporary radio station known for its influential programming and prominent on-air personalities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WBLS Target entity description: WBLS is a New York City-based urban adult contemporary radio station known for its influential programming and prominent on-air personalities.
-
A.
WBZ-FM
WBZ-FM is a Boston-area sports radio station known for its all-sports format and coverage of local professional teams.
-
B.
WCBS (AM)
WCBS (AM) is a New York City all-news radio station owned by Audacy, known for its continuous local, national, and international news coverage.
-
C.
WBZ (AM)
WBZ (AM) is a historic Boston-based AM radio station known for its news, talk, and sports programming and status as one of the oldest broadcast stations in the United States.
-
D.
WEEI-FM
WEEI-FM is a Boston-based sports radio station best known as a flagship broadcaster for Boston Red Sox games and related sports talk programming.
-
E.
WEAG
WEAG is a former European intergovernmental forum that coordinated armaments cooperation and defense equipment collaboration among Western European nations.
- 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_69ad8580c72481909672d37acf647893 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada52e9f348190aa15b2c0d252719f |
completed | March 8, 2026, 4:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20f75fbf081909a2957b7277c3aae |
completed | March 12, 2026, 12:57 a.m. |
| NEDg | Description generation | batch_69b20fbe1ef081909ef8c11fef96fcf9 |
completed | March 12, 2026, 12:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2101960388190827cc3e64fdf293b |
completed | March 12, 2026, 1 a.m. |
Created at: March 8, 2026, 3:04 p.m.