Triple
T20648467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georgia Gymdogs |
E507422
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | Gymdogs |
—
|
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: Gymdogs | Statement: [Georgia Gymdogs, shortName, Gymdogs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gymdogs Context triple: [Georgia Gymdogs, shortName, Gymdogs]
-
A.
Gymdogs
chosen
Gymdogs is the nickname for the University of Georgia’s highly successful women’s gymnastics team, renowned for its multiple NCAA national championships.
-
B.
No More Doggin'
"No More Doggin'" is a rhythm and blues song by Rosco Gordon that became one of his best-known recordings and an influential early example of the shuffle style.
-
C.
Bumpy Dog
Bumpy Dog is a loyal, excitable toy dog character from Enid Blyton’s Noddy stories, known for accompanying Noddy on his adventures in Toyland.
-
D.
Two Dogs
"Two Dogs" is a blues-rock album by American guitarist and singer Popa Chubby, showcasing his gritty vocals and fiery electric guitar style.
-
E.
Lawn Dogs
Lawn Dogs is a 1997 independent drama film that explores the unlikely friendship between a young girl from a wealthy family and a working-class lawn caretaker in a restrictive suburban community.
- 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_69e0b4bf58c081908e52a4500e03ff83 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6af2076b48190b9c8afb4eac65f46 |
completed | April 20, 2026, 10:56 p.m. |
Created at: April 16, 2026, 11:43 a.m.