Triple
T26574234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State Treasurer of Wisconsin |
E666904
|
entity |
| Predicate | hasHadIncumbent |
P161728
|
FINISHED |
| Object | Sarah Godlewski |
—
|
NE NERFINISHED |
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: Sarah Godlewski | Statement: [State Treasurer of Wisconsin, hasHadIncumbent, Sarah Godlewski]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHadIncumbent Context triple: [State Treasurer of Wisconsin, hasHadIncumbent, Sarah Godlewski]
-
A.
hasIncumbentPresidentCandidate
Indicates that a political entity (such as a party, election, or race) has a current office-holding president running as a candidate in that contest.
-
B.
lastIncumbent
Indicates that the subject is the most recent person or entity to have held a particular position, office, or role before the current one.
-
C.
incumbentBeforeElection
Indicates that the subject was already holding the relevant office or position prior to the specified election.
-
D.
hasNoCurrentIncumbent
Indicates that a position, role, or office currently has no person or entity occupying or holding it.
-
E.
numberOfIncumbents
Indicates the count of entities currently holding a particular position, role, or status at a given time.
- F. None of above. chosen
Provenance (4 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_69ee9cfa21c081909e4e36e087debfc6 |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f6200ac60481909895c61d050b1338 |
completed | May 2, 2026, 4:02 p.m. |
| PD | Predicate disambiguation | batch_69f61b3a8ae0819090189fbd8eb19f2f |
completed | May 2, 2026, 3:41 p.m. |
| PDg | Predicate description generation | batch_69f61f109ef48190873bfe18638d2046 |
completed | May 2, 2026, 3:58 p.m. |
Created at: April 27, 2026, 1:59 a.m.