Triple
T18007493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berwick Academy |
E430790
|
entity |
| Predicate | hasMascot |
P52
|
FINISHED |
| Object | Bulldog |
—
|
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: Bulldog | Statement: [Berwick Academy, hasMascot, Bulldog]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bulldog Context triple: [Berwick Academy, hasMascot, Bulldog]
-
A.
Bulldog
chosen
The Bulldog is a sturdy, muscular dog breed known for its wrinkled face, pushed-in nose, and calm yet determined temperament.
-
B.
Bulldog
Bulldog is the nickname of former Major League Baseball pitcher Orel Hershiser, renowned for his dominant performances with the Los Angeles Dodgers.
-
C.
Bulldogs
Bulldogs is the nickname and mascot for Mississippi State University’s athletic teams, representing the school in collegiate sports.
-
D.
Bulldogs
Bulldogs is the nickname of the Western Bulldogs, a professional Australian rules football club based in Melbourne that competes in the Australian Football League (AFL).
-
E.
Bulldogs
Bulldogs is the nickname and mascot for the University of Minnesota Duluth’s athletic teams, representing the school in collegiate sports competitions.
- 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b51d44088190bfcd35e532a4c02a |
completed | April 19, 2026, 10:57 a.m. |
Created at: April 10, 2026, 10:24 a.m.