Triple
T11861388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dawgs |
E282165
|
entity |
| Predicate | associatedMascot |
P52
|
FINISHED |
| Object | Uga |
E85884
|
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: Uga | Statement: [Dawgs, associatedMascot, Uga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uga Context triple: [Dawgs, associatedMascot, Uga]
-
A.
Uga
chosen
Uga is the live English bulldog who serves as the beloved official mascot of the University of Georgia’s athletic teams.
-
B.
Dirksen
Dirksen is a surname most notably associated with Everett Dirksen, a prominent mid-20th-century American politician and U.S. Senate Minority Leader.
-
C.
Tuberville
Tuberville is the surname of Tommy Tuberville, an American politician and former college football coach.
-
D.
Kuvempu
Kuvempu was a renowned Indian poet, novelist, and playwright who became one of the most influential figures in modern Kannada literature and a leading voice of the Navodaya literary movement.
-
E.
Talmadge
Talmadge is an American surname notably associated with several political and public figures, including members of the Talmadge family in Georgia.
- 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_69d6ab2945d081908a5851c916cbcfb5 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a69b16bc8190999a0c1240f9ce6a |
completed | April 10, 2026, 7:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f281745ca88190968e1f674d0e483c |
completed | April 29, 2026, 10:08 p.m. |
Created at: April 8, 2026, 9:43 p.m.