Triple
T8476177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeff Fager |
E200398
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | WBZ-TV |
E403478
|
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: WBZ-TV | Statement: [Jeff Fager, employer, WBZ-TV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WBZ-TV Context triple: [Jeff Fager, employer, WBZ-TV]
-
A.
WBZ-TV
chosen
WBZ-TV is a Boston-based television station that serves as a major local broadcaster and CBS affiliate in the New England region.
-
B.
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.
-
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.
WHDH-TV
WHDH-TV is a Boston-based television station historically known as a major local news outlet and an early employer of prominent journalists such as Tom Brokaw.
-
E.
WJZ-TV
WJZ-TV is a Baltimore-based television station that serves as a major local news and CBS network affiliate.
- 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_69ca831b17988190a1f3f3413d57b820 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe51e21548190811e3c7ba7b196e5 |
completed | March 31, 2026, 3:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce3a0f5e088190b70b2c7437884b3b |
completed | April 2, 2026, 9:42 a.m. |
Created at: March 30, 2026, 6:12 p.m.