Triple
T17214144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tamron Hall |
E417808
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | WFLD-TV |
E331295
|
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: WFLD-TV | Statement: [Tamron Hall, employer, WFLD-TV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WFLD-TV Context triple: [Tamron Hall, employer, WFLD-TV]
-
A.
WFLD
chosen
WFLD is a Fox-owned television station serving the Chicago, Illinois market.
-
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.
WLS-TV
WLS-TV is a major ABC-owned and operated television station serving the Chicago, Illinois media market.
-
D.
WDIV-TV
WDIV-TV is a major NBC-affiliated television station serving the Detroit, Michigan market.
-
E.
WNEW-TV
WNEW-TV is a New York City television station historically known as an independent outlet that later became part of the Fox network.
- 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42dc795d08190b90801a4f8b23afe |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a016751a5788190a385774d1ff002d0 |
completed | May 11, 2026, 5:21 a.m. |
Created at: April 10, 2026, 5:38 a.m.