Triple
T29913645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | attempted to vote for John Kasich for president in 2016 |
E759734
|
entity |
| Predicate | replacementElectorVoteFor |
P177801
|
FINISHED |
| Object | Hillary Clinton |
—
|
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: Hillary Clinton | Statement: [attempted to vote for John Kasich for president in 2016, replacementElectorVoteFor, Hillary Clinton]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: replacementElectorVoteFor Context triple: [attempted to vote for John Kasich for president in 2016, replacementElectorVoteFor, Hillary Clinton]
-
A.
electedReplacement
Indicates that one entity has been chosen through an election process to take over the role, position, or function previously held by another entity.
-
B.
electedAsElectorFor
Indicates that an entity has been chosen or appointed to serve in the role of an elector for another entity or context.
-
C.
changesVote
chosen
Indicates that an entity alters a previously made voting decision to a different choice.
-
D.
reElectionOf
Indicates that an entity is being elected again to a position or office they have previously held.
-
E.
increasedNumberOfElectors
Indicates that the number of electors associated with an entity has grown compared to a previous state or reference point.
- 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_69f7cec454a88190a9f3bbee2b856636 |
completed | May 3, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f7c8977c288190997a892ec5f756ed |
completed | May 3, 2026, 10:13 p.m. |
Created at: April 29, 2026, 6:11 p.m.