Triple
T28577024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Senate Republican Conference |
E723270
|
entity |
| Predicate | currentWhip |
P192483
|
FINISHED |
| Object | John Thune |
—
|
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: John Thune | Statement: [United States Senate Republican Conference, currentWhip, John Thune]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentWhip Context triple: [United States Senate Republican Conference, currentWhip, John Thune]
-
A.
currentMP
Indicates that the subject is the person who currently serves as a Member of Parliament representing the object’s constituency or jurisdiction.
-
B.
currentRuler
Indicates that one entity is the present reigning ruler or head of state of another entity (such as a country, region, or polity).
-
C.
isCurrent
Indicates that something is presently valid, active, or up to date at the current point in time.
-
D.
currentPolicy
Indicates that a given policy is the one presently in effect or actively governing the relevant context.
-
E.
currentSteward
Indicates that an entity currently holds the role or responsibility of steward for another entity.
- 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_69f01d7e97708190ae9e77ee66a68abd |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69fd0d0ba5c48190bddb3f0e6637544c |
completed | May 7, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69fd0c4324a8819086c90adf46216e0e |
completed | May 7, 2026, 10:03 p.m. |
| PDg | Predicate description generation | batch_69fd0d0aebac8190868a7714ddb4f1fd |
completed | May 7, 2026, 10:07 p.m. |
Created at: April 28, 2026, 4:13 a.m.