Triple
T13036367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ted Baxter |
E326570
|
entity |
| Predicate | worksAt |
P7
|
FINISHED |
| Object | WJM-TV |
E973555
|
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: WJM-TV | Statement: [Ted Baxter, worksAt, WJM-TV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WJM-TV Context triple: [Ted Baxter, worksAt, WJM-TV]
-
A.
WJM-TV
chosen
WJM-TV is the fictional Minneapolis television station where the characters of The Mary Tyler Moore Show, including news writer Murray Slaughter, work.
-
B.
WSAW-TV
WSAW-TV is a local television station serving the Wausau, Wisconsin area, providing news, weather, and entertainment programming to regional viewers.
-
C.
WABI-TV
WABI-TV is a long-running CBS-affiliated television station serving the Bangor, Maine market with local news, weather, and entertainment programming.
-
D.
WSNS-TV
WSNS-TV is a Spanish-language television station in Chicago affiliated with Telemundo and owned by NBCUniversal.
-
E.
WJAR-TV
WJAR-TV is a television station serving the Providence, Rhode Island–New Bedford, Massachusetts market, known primarily as the local NBC 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97f2a71a0819098bb6cf8a4b2208a |
completed | April 10, 2026, 10:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d5fbaea8819080ca249159d6c125 |
completed | May 3, 2026, 4:58 a.m. |
Created at: April 9, 2026, 8:55 p.m.