Triple
T10687943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Carolina State University |
E251929
|
entity |
| Predicate | mascot |
P52
|
FINISHED |
| Object | Bulldog |
E88895
|
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: Bulldog | Statement: [South Carolina State University, mascot, Bulldog]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bulldog Context triple: [South Carolina State University, mascot, Bulldog]
-
A.
Bulldog
Bulldog is the nickname of former Major League Baseball pitcher Orel Hershiser, renowned for his dominant performances with the Los Angeles Dodgers.
-
B.
Bulldogs
Bulldogs is the nickname of Yale University's men's basketball team, a historic Ivy League program competing in NCAA Division I.
-
C.
Bulldogs
chosen
Bulldogs is the mascot and collective nickname commonly associated with various sports teams, notably those of California State University, Fresno.
-
D.
Bulldogs
Bulldogs is the nickname for the athletic teams representing Alabama A&M University in collegiate sports.
-
E.
Bulldogs
The Bulldogs are the athletic teams representing the University of North Carolina at Asheville in NCAA collegiate sports.
- 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd19f0f481909eeaa75d17d9c060 |
completed | April 9, 2026, 1:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9889d1f988190938be54771161b00 |
completed | April 10, 2026, 11:32 p.m. |
Created at: April 8, 2026, 9:11 p.m.