Triple
T10336131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1924 United States presidential election |
E243008
|
entity |
| Predicate | CalvinCoolidgeElectoralVotes |
P6366
|
FINISHED |
| Object | 382 |
—
|
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: 382 | Statement: [1924 United States presidential election, CalvinCoolidgeElectoralVotes, 382]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: CalvinCoolidgeElectoralVotes Context triple: [1924 United States presidential election, CalvinCoolidgeElectoralVotes, 382]
-
A.
Calvin CoolidgeRole
Indicates that an entity holds or held a specific role, position, or office in relation to Calvin Coolidge.
-
B.
succeededByAs24thPresident
Indicates that one entity was directly followed in office by another entity specifically as the 24th president.
-
C.
succeededByAs22ndPresident
Indicates that one entity is directly followed in office by another entity specifically as the 22nd President.
-
D.
electoralVotesWinner
chosen
Indicates that the subject is the candidate who received the highest number of electoral votes in a given election.
-
E.
EisenhowerPopularVote
Indicates that the subject received a specified share or count of the popular vote in an election involving Dwight D. Eisenhower.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e91fdb2081909866c6ecf417d75a |
completed | April 7, 2026, 11:23 a.m. |
| PD | Predicate disambiguation | batch_69d4df9dc3208190bf1bd106f44f6202 |
completed | April 7, 2026, 10:42 a.m. |
Created at: April 6, 2026, 11:53 a.m.