Triple
T987876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ron DeSantis |
E21318
|
entity |
| Predicate | announcedPresidentialCampaign |
P4650
|
FINISHED |
| Object | 2023-05-24 |
—
|
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: 2023-05-24 | Statement: [Ron DeSantis, announcedPresidentialCampaign, 2023-05-24]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: announcedPresidentialCampaign Context triple: [Ron DeSantis, announcedPresidentialCampaign, 2023-05-24]
-
A.
notablePresidentialCandidate
Indicates that a person has been a prominent or widely recognized candidate in a presidential election.
-
B.
ranPresidentialCandidate
Indicates that the subject has been a candidate in a presidential election.
-
C.
yearOfPresidentialNomination
Indicates the specific year in which an individual was formally nominated as a presidential candidate.
-
D.
announcedThat
chosen
Indicates that one entity publicly communicated or declared a specific fact, decision, or piece of information about another entity or situation.
-
E.
notableCampaign
Indicates that an entity is prominently associated with a particular campaign, such as by leading, featuring in, or being a key focus of that campaign.
- 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_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. |
Created at: March 1, 2026, 7:41 p.m.