Triple
T26608519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florida Gators |
E667846
|
entity |
| Predicate | universityPresident |
P25902
|
FINISHED |
| Object | Ben Sasse |
—
|
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: Ben Sasse | Statement: [Florida Gators, universityPresident, Ben Sasse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: universityPresident Context triple: [Florida Gators, universityPresident, Ben Sasse]
-
A.
rectorOrPresident
chosen
Indicates that one entity serves as the rector or president (i.e., the chief executive or head) of another entity, typically an institution such as a university.
-
B.
principalAndViceChancellor
Indicates that one entity holds the role of principal while also serving as the vice chancellor of an institution in relation to another entity.
-
C.
foundingChancellor
Indicates that a person served as the first (original) chancellor at the founding of an institution or organization.
-
D.
hasViceChancellor
Indicates that one entity serves as the vice chancellor of another entity.
-
E.
hasExecutiveCollege
Indicates that an entity has an associated executive-level college or school (e.g., a business or leadership-focused academic unit).
- 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_69ee9cfd20348190bb1255d2603efb7a |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f61576b3f48190bc87dcdf685b4532 |
completed | May 2, 2026, 3:17 p.m. |
| PD | Predicate disambiguation | batch_69f602d7b1b0819095ddd3b5169f8ce2 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 27, 2026, 2:15 a.m.