Triple
T11577883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1944 United States presidential election |
E274551
|
entity |
| Predicate | DeweyPositionAtTimeOfElection |
P97637
|
FINISHED |
| Object | Governor of New York |
—
|
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: Governor of New York | Statement: [1944 United States presidential election, DeweyPositionAtTimeOfElection, Governor of New York]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: DeweyPositionAtTimeOfElection Context triple: [1944 United States presidential election, DeweyPositionAtTimeOfElection, Governor of New York]
-
A.
positionBeforeElection
chosen
Indicates that an entity held a particular position or office prior to a specified election.
-
B.
RobertMLaFollettePopularVoteShare
Indicates the proportion of the total popular vote that was received by Robert M. La Follette in a given election or electoral context.
-
C.
wonFirstDemocraticElection
Indicates that the subject achieved victory in the first democratic election held for a given office, position, or context.
-
D.
lastElection
Indicates the most recent electoral event associated with an entity, such as the latest election in which it participated or was affected.
-
E.
targetedOfficeElectionYear
Indicates the year in which the election is held for the office that is the target of the relationship.
- 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_69d6aae5ac3c81908d2b0a3a665665b2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8904b46288190890ecafd6ceb0c3d |
completed | April 10, 2026, 5:53 a.m. |
| PD | Predicate disambiguation | batch_69d85dcbacd0819094d4a1237055affa |
completed | April 10, 2026, 2:17 a.m. |
Created at: April 8, 2026, 9:38 p.m.