Triple
T14957068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baxter |
E372958
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | KVWN Channel 4 News Team |
E372957
|
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: KVWN Channel 4 News Team | Statement: [Baxter, associatedWith, KVWN Channel 4 News Team]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KVWN Channel 4 News Team Context triple: [Baxter, associatedWith, KVWN Channel 4 News Team]
-
A.
KVWN Channel 4 News
KVWN Channel 4 News is the fictional San Diego television news station featured in the comedy film "Anchorman," where Ron Burgundy works as a lead anchorman.
-
B.
KVWN
KVWN is the fictional San Diego television news station featured in the comedy film "Anchorman: The Legend of Ron Burgundy."
-
C.
Channel 4 News Team
chosen
The Channel 4 News Team is the fictional San Diego television news crew featured in the comedy film "Anchorman: The Legend of Ron Burgundy."
-
D.
WTVD
WTVD is a local ABC-affiliated television station serving the Raleigh–Durham (Research Triangle) region of North Carolina.
-
E.
Channel Four Wales
Channel Four Wales is the English-language name for S4C, the Welsh-language public service television channel broadcasting in Wales.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6cc73848190ac181782b20dc838 |
completed | April 15, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe968f25e08190bfbf7a3541f79add |
completed | May 9, 2026, 2:06 a.m. |
Created at: April 10, 2026, 2:40 a.m.