Triple
T19383194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Villanova Wildcats women's basketball |
E484863
|
entity |
| Predicate | hasMascot |
P52
|
FINISHED |
| Object | Will D. Cat |
—
|
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: Will D. Cat | Statement: [Villanova Wildcats women's basketball, hasMascot, Will D. Cat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Will D. Cat Context triple: [Villanova Wildcats women's basketball, hasMascot, Will D. Cat]
-
A.
Will D. Cat
chosen
Will D. Cat is the costumed wildcat mascot who represents Villanova University at athletic events and school functions.
-
B.
Mr. Cat
Mr. Cat is the costumed feline mascot representing the Davidson Wildcats men's basketball team and embodying the school’s athletic spirit.
-
C.
Thomas O'Malley Cat
"Thomas O'Malley Cat" is a jazzy character song from Disney's animated film *The Aristocats*, introducing the charming alley cat Thomas O'Malley.
-
D.
Freudy Cat
Freudy Cat is a Warner Bros. Looney Tunes animated short featuring the baby kangaroo Hippety Hopper in a comedic misadventure.
-
E.
Mr. Goodkat
Mr. Goodkat is a mysterious, highly skilled hitman central to the plot of the crime thriller film "Lucky Number Slevin."
- 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_69d8e8d460d88190abf0591c5c9d2b0c |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61a614cf88190b561eafaa350ce19 |
completed | April 20, 2026, 12:21 p.m. |
Created at: April 10, 2026, 1:35 p.m.