Triple
T22774876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lions |
E563666
|
entity |
| Predicate | mascot |
P52
|
FINISHED |
| Object | Lucky the Lion |
—
|
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: Lucky the Lion | Statement: [Lions, mascot, Lucky the Lion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lucky the Lion Context triple: [Lions, mascot, Lucky the Lion]
-
A.
Lucky the Lion
chosen
Lucky the Lion is the costumed lion mascot representing Texas A&M University–Commerce at athletic events and school functions.
-
B.
Doc the Tiger
Doc the Tiger is the costumed tiger mascot representing Towson University's women's basketball team and broader athletic programs.
-
C.
Roary the Panther
Roary the Panther is the costumed panther mascot representing Florida International University at its athletic events and campus activities.
-
D.
Noble the Lion
Noble the Lion is a regal lion character from medieval European Reynard the Fox tales, often portrayed as the king of the animals and Reynard’s chief adversary.
-
E.
Lippy the Lion
Lippy the Lion is a talkative, optimistic cartoon lion created by Hanna-Barbera who starred in early 1960s animated television shorts alongside his hyena sidekick Hardy Har Har.
- 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_69e24554497c819080b996e071de27c2 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17b60eec48190b0aaf3eb7ede38d4 |
completed | April 29, 2026, 3:30 a.m. |
Created at: April 17, 2026, 3:28 p.m.