Triple
T4662076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ben Sasse |
E102555
|
entity |
| Predicate | senatorialClass |
P35716
|
FINISHED |
| Object | Class II United States Senator |
—
|
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: Class II United States Senator | Statement: [Ben Sasse, senatorialClass, Class II United States Senator]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: senatorialClass Context triple: [Ben Sasse, senatorialClass, Class II United States Senator]
-
A.
isPartOfSenateClassSystem
chosen
Indicates that an entity belongs to or is categorized within a specific class or grouping of the Senate class system.
-
B.
electoralClass
Indicates the category or type of electoral process or constituency to which an election, seat, or candidate belongs.
-
C.
senateMembership
Indicates that an entity holds or has held a position as a member of a senate.
-
D.
representedInSenate
Indicates that an entity serves as a representative for another entity within a senate or upper legislative chamber.
-
E.
numberOfSenates
Indicates the total count of senate bodies associated with or present in a given context or 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_69bd43d823288190952279faa0d1d066 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd632b7fb88190821f213620719d6b |
completed | March 20, 2026, 3:09 p.m. |
| PD | Predicate disambiguation | batch_69bd62126b0c81909ba3f21b21e30d54 |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:15 p.m.