Triple
T13277454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chuck Thompson |
E316228
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | WBAL |
E724748
|
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: WBAL | Statement: [Chuck Thompson, employer, WBAL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WBAL Context triple: [Chuck Thompson, employer, WBAL]
-
A.
WBAL-TV
WBAL-TV is a Baltimore-based television station that serves as a major local news and NBC network affiliate in Maryland.
-
B.
WBAL (AM)
chosen
WBAL (AM) is a long-running Baltimore-based news/talk radio station known for its local news, sports coverage, and public affairs programming.
-
C.
WBLS
WBLS is a New York City-based urban adult contemporary radio station known for its influential programming and prominent on-air personalities.
-
D.
WBZ-TV
WBZ-TV is a Boston-based television station that serves as a major local broadcaster and CBS affiliate in the New England region.
-
E.
KDKA-FM
KDKA-FM is a Pittsburgh-based commercial radio station known for its sports talk programming and affiliation with major local sports teams.
- 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99042f56c819082440c89c0adc442 |
completed | April 11, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a54ff488190a759b46963c0d842 |
completed | May 3, 2026, 8:41 a.m. |
Created at: April 9, 2026, 9:26 p.m.