Triple
T12250680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keydets |
E291960
|
entity |
| Predicate | mascot |
P52
|
FINISHED |
| Object | Moe the Kangaroo |
E60383
|
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: Moe the Kangaroo | Statement: [Keydets, mascot, Moe the Kangaroo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moe the Kangaroo Context triple: [Keydets, mascot, Moe the Kangaroo]
-
A.
Moe the Kangaroo
chosen
Moe the Kangaroo is the costumed kangaroo mascot that represents the Virginia Military Institute at its athletic events and school functions.
-
B.
Zippy the kangaroo
Zippy the kangaroo is the costumed kangaroo mascot representing the University of Akron's athletic teams, particularly the Akron Zips football team.
-
C.
Kasey the Kangaroo
Kasey the Kangaroo is the energetic kangaroo mascot representing the University of Missouri–Kansas City at athletic events and campus activities.
-
D.
Matilda the kangaroo
Matilda the kangaroo is a giant mechanical kangaroo that served as the iconic mascot of the 1982 Commonwealth Games in Brisbane, Australia.
-
E.
Reginald the Koala
Reginald the Koala is a fictional koala character portrayed as an operative working for the CIA’s domestic branch.
- 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cc6983c81909bf479d15879a357 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60abbf75c81908a25e1c0a4aee8c1 |
completed | May 2, 2026, 2:31 p.m. |
Created at: April 8, 2026, 9:52 p.m.