Triple
T29913636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | attempted to vote for John Kasich for president in 2016 |
E759734
|
entity |
| Predicate | positionVotedFor |
P5054
|
FINISHED |
| Object | President of the United States |
—
|
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: President of the United States | Statement: [attempted to vote for John Kasich for president in 2016, positionVotedFor, President of the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionVotedFor Context triple: [attempted to vote for John Kasich for president in 2016, positionVotedFor, President of the United States]
-
A.
positionOnBallot
Indicates the specific ordered place that a candidate or option occupies on an election ballot.
-
B.
positionInReferendum
Indicates the stance or role an entity holds regarding a specific referendum.
-
C.
positionOnVotingRights
Indicates a stance or viewpoint that an entity holds regarding policies or issues related to voting rights.
-
D.
voteFor
chosen
Indicates that one entity casts or expresses a vote in favor of another entity or option.
-
E.
voteRecord
Indicates that an entity has cast a specific vote or holds a particular voting position in a given decision or election.
- 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_69f2246189fc8190996b63ee1f9a2374 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fdd92396788190ae1424bc1ae55844 |
completed | May 8, 2026, 12:37 p.m. |
| PD | Predicate disambiguation | batch_69fdd678f40481909a717a2daec83b36 |
completed | May 8, 2026, 12:26 p.m. |
Created at: April 29, 2026, 6:11 p.m.