Triple
T6134179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1952 United States presidential election |
E136792
|
entity |
| Predicate | EisenhowerPopularVotes |
P63575
|
FINISHED |
| Object | 33936032 |
—
|
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: 33936032 | Statement: [1952 United States presidential election, EisenhowerPopularVotes, 33936032]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: EisenhowerPopularVotes Context triple: [1952 United States presidential election, EisenhowerPopularVotes, 33936032]
-
A.
EisenhowerPopularVote
chosen
Indicates that the subject received a specified share or count of the popular vote in an election involving Dwight D. Eisenhower.
-
B.
EisenhowerPopularVotePercentage
Indicates the percentage of the total popular vote that was received by Eisenhower in a given election.
-
C.
RooseveltPopularVotes
Indicates the number of popular votes received by Roosevelt in a given election or voting context.
-
D.
republicanPopularVoteShare
Indicates the proportion of total votes in an election that were cast for the Republican Party.
-
E.
RooseveltPopularVotePercentage
Indicates the percentage of the total popular vote that was received by Roosevelt in a given election or context.
- 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_69c008a179388190a3b5a081bbf46d55 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05c7f34d081909e589b201b22be21 |
completed | March 22, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69c055f19b0c81908be34a00ab218723 |
completed | March 22, 2026, 8:49 p.m. |
Created at: March 22, 2026, 4:15 p.m.