Triple
T13275469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Utah University |
E316176
|
entity |
| Predicate | hasMascot |
P52
|
FINISHED |
| Object | Thunderbird |
E541580
|
NE 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: Thunderbird | Statement: [Southern Utah University, hasMascot, Thunderbird]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thunderbird Context triple: [Southern Utah University, hasMascot, Thunderbird]
-
A.
Thunderbird
Thunderbird is a free, open-source email client developed by Mozilla, known for its extensibility and cross-platform support.
-
B.
Thunderbird
chosen
Thunderbird is the iconic avian mascot representing the Thunderbirds sports teams.
-
C.
Thunderhawk
Thunderhawk is a suspended looping steel roller coaster at Michigan’s Adventure amusement park in Muskegon, Michigan.
-
D.
Eagle Talon
The Eagle Talon is a sporty compact coupe produced in the 1990s, known for its turbocharged performance and all-wheel-drive options as part of the Diamond-Star Motors collaboration.
-
E.
Raptor
Raptor is a steel inverted roller coaster at Cedar Point known for its intense inversions and high-speed, suspended-track design.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99042f56c819082440c89c0adc442 |
completed | April 11, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a54ff488190a759b46963c0d842 |
completed | May 3, 2026, 8:41 a.m. |
Created at: April 9, 2026, 9:26 p.m.