Triple
T26203957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2018 Kansas gubernatorial election |
E655309
|
entity |
| Predicate | runningMateOfGregOrman |
P161265
|
FINISHED |
| Object | John Doll |
—
|
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: John Doll | Statement: [2018 Kansas gubernatorial election, runningMateOfGregOrman, John Doll]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: runningMateOfGregOrman Context triple: [2018 Kansas gubernatorial election, runningMateOfGregOrman, John Doll]
-
A.
runningMateOfAndrewGillum
Indicates a person who was the vice-gubernatorial running mate on the same ticket as Andrew Gillum in an election.
-
B.
runningMateOfKrisKobach
Indicates that one person served as Kris Kobach’s running mate on an electoral ticket.
-
C.
runningMateOfJebBush
Indicates that the subject was the vice-presidential running mate of Jeb Bush in an election.
-
D.
runningMateOffice
Indicates that one candidate is running for a specific office as the designated running mate of another candidate.
-
E.
runningMateOfNominee
Indicates that one individual is the officially selected vice-presidential (or secondary) candidate running together on the same ticket with a primary nominee.
- 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_69ee5b48236c81908fe385b6afc4f60b |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f6135293908190809e255bf6334760 |
completed | May 2, 2026, 3:08 p.m. |
| PD | Predicate disambiguation | batch_69f611a9272881909093360472be832c |
completed | May 2, 2026, 3 p.m. |
| PDg | Predicate description generation | batch_69f6125e54e0819088ee33a20efcc9e6 |
completed | May 2, 2026, 3:03 p.m. |
Created at: April 26, 2026, 8:49 p.m.