Triple
T987877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ron DeSantis |
E21318
|
entity |
| Predicate | withdrewFromPresidentialRace |
P22786
|
FINISHED |
| Object | 2024-01-21 |
—
|
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: 2024-01-21 | Statement: [Ron DeSantis, withdrewFromPresidentialRace, 2024-01-21]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: withdrewFromPresidentialRace Context triple: [Ron DeSantis, withdrewFromPresidentialRace, 2024-01-21]
-
A.
ranPresidentialCandidate
Indicates that the subject has been a candidate in a presidential election.
-
B.
losingRunningMate
Indicates that one entity is the running mate who was on the losing side in an electoral contest involving another entity.
-
C.
notablePresidentialCandidate
Indicates that a person has been a prominent or widely recognized candidate in a presidential election.
-
D.
lostPresidency
Indicates that an entity who previously held a presidency position has ceased to hold that office, typically as a result of an election or other loss of power.
-
E.
wonPresidentialElection
Indicates that one entity achieved victory over others in a presidential election.
- 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_69a493c383dc8190a03257f22d4b4183 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4a89a58819081a24b5b0a12f122 |
completed | March 1, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69a4b2abccbc8190a83af432f89eacf5 |
completed | March 1, 2026, 9:42 p.m. |
| PDg | Predicate description generation | batch_69a4b38630848190bd3898a4f42018ad |
completed | March 1, 2026, 9:45 p.m. |
Created at: March 1, 2026, 7:41 p.m.