Triple
T6600853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deb Fischer |
E148992
|
entity |
| Predicate | stateLevelOffice |
P1085
|
FINISHED |
| Object | Nebraska state senator |
—
|
LITERAL 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: Nebraska state senator | Statement: [Deb Fischer, stateLevelOffice, Nebraska state senator]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stateLevelOffice Context triple: [Deb Fischer, stateLevelOffice, Nebraska state senator]
-
A.
stateOfOffice
Indicates the current condition or operational status of an office (such as open, closed, under renovation, or active/inactive).
-
B.
typeOfOffice
Indicates the specific category or kind of office that an office entity belongs to (e.g., executive, legislative, judicial, or other office types).
-
C.
stateParty
Indicates that an entity is a member or signatory state formally bound by a particular treaty, agreement, or convention.
-
D.
stateAttorneyGeneralOf
Indicates that a person holds the office and role of Attorney General for a particular state.
-
E.
levelOfGovernment
chosen
Indicates the specific tier or layer within a governmental hierarchy (e.g., local, regional, national) at which an entity operates or an action is taken.
- F. None of above.
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_69c687eaa7508190bb58ce2aa02039b3 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cc9c6cb0819084fec8e0beb430de |
completed | March 27, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_69c6acfd17388190bd0bb8b2371e7df1 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:56 p.m.