Triple
T5889930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panthers (Georgia State University) |
E130961
|
entity |
| Predicate | mascot |
P52
|
FINISHED |
| Object | Pounce |
E130960
|
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: Pounce | Statement: [Panthers (Georgia State University), mascot, Pounce]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pounce Context triple: [Panthers (Georgia State University), mascot, Pounce]
-
A.
Pounce
chosen
Pounce is the costumed panther mascot representing Georgia State University at its athletic events and campus activities.
-
B.
Pounce the Cougar
Pounce the Cougar is the costumed athletic mascot representing the University of Minnesota Morris at its sporting events and campus activities.
-
C.
Pouncer
Pouncer is the costumed tiger mascot who represents the University of Memphis Tigers at athletic events and school functions.
-
D.
Paws
Paws is the costumed team mascot of the WNBA’s Washington Mystics, entertaining fans at games and events.
-
E.
Paws
Paws is the anthropomorphic tiger mascot of the Detroit Tigers Major League Baseball team, known for entertaining fans at games and community events.
- 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_69c0085628dc8190b334c1b44c067efc |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c036b0993081908c239dd2901e6bbe |
completed | March 22, 2026, 6:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b146ad348190baeeecb65f2bf811 |
completed | March 23, 2026, 3:19 a.m. |
Created at: March 22, 2026, 3:58 p.m.