Triple
T3960292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uga |
E85884
|
entity |
| Predicate | hasPredecessor |
P97
|
FINISHED |
| Object |
Uga IX
Uga IX is a former live English Bulldog mascot that represented the University of Georgia’s athletic teams before being succeeded by the current Uga.
|
E402154
|
NE FINISHED |
How this triple was built (4 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 IX | Statement: [Uga, hasPredecessor, Uga IX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uga IX Context triple: [Uga, hasPredecessor, Uga IX]
-
A.
Ugo
Ugo is an Italian given name, cognate with the English name Hugh, traditionally associated with meanings related to mind, spirit, or heart.
-
B.
Segusio
Segusio was an ancient Roman town in the Alps, strategically located on key transalpine routes in what is now Susa, Italy.
-
C.
Amarildo
Amarildo is a former Brazilian footballer best known as a forward who starred for Botafogo and the Brazil national team in the early 1960s.
-
D.
Wabasha III
Wabasha III was a prominent Mdewakanton Dakota chief who played a key leadership role during the mid-19th century conflicts between the Dakota people and the United States.
-
E.
Goaria
Goaria is a regional dialect of the Rajasthani language spoken by specific communities in parts of Rajasthan, India.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Uga IX Triple: [Uga, hasPredecessor, Uga IX]
Generated description
Uga IX is a former live English Bulldog mascot that represented the University of Georgia’s athletic teams before being succeeded by the current Uga.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Uga IX Target entity description: Uga IX is a former live English Bulldog mascot that represented the University of Georgia’s athletic teams before being succeeded by the current Uga.
-
A.
Ugo
Ugo is an Italian given name, cognate with the English name Hugh, traditionally associated with meanings related to mind, spirit, or heart.
-
B.
Segusio
Segusio was an ancient Roman town in the Alps, strategically located on key transalpine routes in what is now Susa, Italy.
-
C.
Amarildo
Amarildo is a former Brazilian footballer best known as a forward who starred for Botafogo and the Brazil national team in the early 1960s.
-
D.
Wabasha III
Wabasha III was a prominent Mdewakanton Dakota chief who played a key leadership role during the mid-19th century conflicts between the Dakota people and the United States.
-
E.
Goaria
Goaria is a regional dialect of the Rajasthani language spoken by specific communities in parts of Rajasthan, India.
- F. None of above. chosen
Provenance (5 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_69aed93a96908190bcbdbfa718f155bd |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef9602a7c81909743672392f832f6 |
completed | March 9, 2026, 4:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b533b57ad08190972d385a133c73b8 |
completed | March 14, 2026, 10:08 a.m. |
| NEDg | Description generation | batch_69b534b3596c819088812b5835512c05 |
completed | March 14, 2026, 10:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5354ce29481909af8f0a216c3e643 |
completed | March 14, 2026, 10:15 a.m. |
Created at: March 9, 2026, 3:31 p.m.