Triple
T26574714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clinton deficit reduction act |
E666917
|
entity |
| Predicate | partyOfPresident |
P29538
|
FINISHED |
| Object | Democratic Party |
—
|
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: Democratic Party | Statement: [Clinton deficit reduction act, partyOfPresident, Democratic Party]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partyOfPresident Context triple: [Clinton deficit reduction act, partyOfPresident, Democratic Party]
-
A.
partyOfPresidentDuringTerm
Indicates the political party with which a president is affiliated during a specific term in office.
-
B.
partyOfSigningPresident
chosen
Indicates the political party affiliation of the president who signed a given document, law, or agreement.
-
C.
partyOfCandidate
Indicates the political party with which a given candidate is affiliated.
-
D.
partyLeaderUnitedStates
Indicates that the subject is the leader of a political party in the United States.
-
E.
partnerPoliticalAffiliation
Indicates that one entity has a political affiliation that is associated with, or shared by, its partner entity.
- 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_69ee9cfa21c081909e4e36e087debfc6 |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f65f7731e4819099d5bd3d915ee266 |
completed | May 2, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f65c1f94ac8190bc6fbc7916fc0d82 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 27, 2026, 1:59 a.m.