Triple
T12596343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monarchs |
E300740
|
entity |
| Predicate | mascot |
P52
|
FINISHED |
| Object | Big Blue |
E450049
|
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: Big Blue | Statement: [Monarchs, mascot, Big Blue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Big Blue Context triple: [Monarchs, mascot, Big Blue]
-
A.
Big Blue
Big Blue is the costumed bull mascot that represents Utah State University's athletic teams and school spirit.
-
B.
Big Blue
Big Blue is the widely used nickname for the New York Giants, a professional American football team in the NFL.
-
C.
Big Blue
Big Blue is the costumed mascot character representing Bluefield State University at its athletic events and campus activities.
-
D.
Big Blue
Big Blue is the popular nickname of the Canadian Football League team the Winnipeg Blue Bombers.
-
E.
Big Blue
chosen
Big Blue is the lion mascot of Old Dominion University, representing the school's athletic teams and campus spirit.
- 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_69d7bdea2ca881908f379526c13b1145 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954cf33b88190bff339fcd3142cc8 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ec49af881908abb948567b82b74 |
completed | May 2, 2026, 8:29 p.m. |
Created at: April 9, 2026, 5:08 p.m.