Triple
T31695655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Republican Party presidential nomination in 1920 |
E808910
|
entity |
| Predicate | leadingCandidateEarlyBallots |
P172432
|
FINISHED |
| Object | Leonard Wood |
—
|
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: Leonard Wood | Statement: [Republican Party presidential nomination in 1920, leadingCandidateEarlyBallots, Leonard Wood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadingCandidateEarlyBallots Context triple: [Republican Party presidential nomination in 1920, leadingCandidateEarlyBallots, Leonard Wood]
-
A.
firstBallotCandidate
Indicates that the entity was a candidate in the first ballot of an election or selection process.
-
B.
finalBallotCandidate
Indicates that an entity is a candidate who appears on the final ballot in an election or selection process.
-
C.
numberOfBallots
Indicates the total count of ballots associated with a particular election, contest, or voting event.
-
D.
ballotsCountedBy
Indicates that the ballots in an election or vote are counted or tallied by a specified person, group, or entity.
-
E.
firstBallotDate
Indicates the date on which the first ballot or initial voting round took place or is scheduled to occur.
- F. None of above. chosen
Provenance (4 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_69f348de914081909fc8edff56f34dbe |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6abe15d5c81909ccf4ce37f78bc43 |
completed | May 3, 2026, 1:58 a.m. |
| PD | Predicate disambiguation | batch_69f6aa20a1588190a53533fc9764efb2 |
completed | May 3, 2026, 1:51 a.m. |
| PDg | Predicate description generation | batch_69f6aaf31a548190b2f792ff4b8c002a |
completed | May 3, 2026, 1:54 a.m. |
Created at: April 30, 2026, 11:10 p.m.