Triple
T19493403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U of F |
E487708
|
entity |
| Predicate | mascot |
P52
|
FINISHED |
| Object | Alberta Gator |
—
|
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: Alberta Gator | Statement: [U of F, mascot, Alberta Gator]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alberta Gator Context triple: [U of F, mascot, Alberta Gator]
-
A.
Alberta Gator
chosen
Alberta Gator is one of the University of Florida’s costumed alligator mascots, appearing at athletic events and campus activities alongside her counterpart, Albert.
-
B.
Gator
Gator is the alligator-themed mascot representing San Francisco State University's athletic teams and school spirit.
-
C.
Gator
Gator is the alligator-themed mascot representing Escambia High School’s athletic teams and school spirit.
-
D.
Gator
Gator is a 1976 American crime comedy film directed by and starring Burt Reynolds as a small-time bootlegger drawn into a dangerous undercover operation.
-
E.
Baylor Bear
Baylor Bear is the costumed bear mascot representing Baylor University's athletic teams and school spirit.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6349002788190afe7831d008d440f |
completed | April 20, 2026, 2:13 p.m. |
Created at: April 10, 2026, 1:39 p.m.