Triple
T20918424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Towson University |
E515136
|
entity |
| Predicate | hasMascot |
P52
|
FINISHED |
| Object | Doc the Tiger |
—
|
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: Doc the Tiger | Statement: [Towson University, hasMascot, Doc the Tiger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doc the Tiger Context triple: [Towson University, hasMascot, Doc the Tiger]
-
A.
Doc the Tiger
chosen
Doc the Tiger is the costumed tiger mascot representing Towson University's women's basketball team and broader athletic programs.
-
B.
TOM the Tiger
TOM the Tiger is the live Bengal tiger mascot that represents the University of Memphis Tigers athletic programs.
-
C.
Mr. Tiger
Mr. Tiger is the nickname of Al Kaline, the Hall of Fame right fielder who became a legendary figure for the Detroit Tigers in Major League Baseball.
-
D.
Tiger Tim
Tiger Tim is the nickname of Tim Henman, a former British professional tennis player known for his success at Wimbledon and role in revitalizing British tennis in the 1990s and early 2000s.
-
E.
Lucky the Lion
Lucky the Lion is the costumed lion mascot representing Texas A&M University–Commerce at athletic events and school functions.
- 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_69e0b4f9d5ec8190bb2bd27350ed341c |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6ec647028819082031eb706a62ad5 |
completed | April 21, 2026, 3:17 a.m. |
Created at: April 16, 2026, 12:48 p.m.