Triple
T11577884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1944 United States presidential election |
E274551
|
entity |
| Predicate | RooseveltPositionAtTimeOfElection |
P97637
|
FINISHED |
| Object | President of the United States |
—
|
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: President of the United States | Statement: [1944 United States presidential election, RooseveltPositionAtTimeOfElection, President of the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: RooseveltPositionAtTimeOfElection Context triple: [1944 United States presidential election, RooseveltPositionAtTimeOfElection, President of the United States]
-
A.
RooseveltPopularVotes
Indicates the number of popular votes received by Roosevelt in a given election or voting context.
-
B.
RooseveltPopularVotePercentage
Indicates the percentage of the total popular vote that was received by Roosevelt in a given election or context.
-
C.
positionBeforeElection
chosen
Indicates that an entity held a particular position or office prior to a specified election.
-
D.
finishedPositionIn1912Election
Indicates the position or rank an entity achieved in the results of the 1912 election.
-
E.
ranPresidentialCandidate
Indicates that the subject has been a candidate in a presidential 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_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.