Triple
T11734641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michigan Wolverines |
E278993
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Maize and Blue |
E275690
|
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: Maize and Blue | Statement: [Michigan Wolverines, nickname, Maize and Blue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maize and Blue Context triple: [Michigan Wolverines, nickname, Maize and Blue]
-
A.
Maize and Blue
chosen
Maize and Blue is a nickname referring to the University of Michigan Wolverines, derived from the school’s iconic colors.
-
B.
Aggie Blue
Aggie Blue is the distinctive deep blue color traditionally associated with the athletic teams and branding of the University of California, Davis.
-
C.
Chicago maroon and burnt orange
Chicago maroon and burnt orange are the distinctive official colors associated with Virginia Tech’s athletic teams and branding.
-
D.
The Blue and Gold
The Blue and Gold is a nickname commonly used for sports teams or organizations whose primary colors are blue and gold, notably associated with several Latin American football clubs.
-
E.
Maroon and Gold
"Maroon and Gold" is the official fight song of Arizona State University's Sun Devils athletic teams.
- 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_69d6aaffec6881908bead509e8621742 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4daa7f48190896fc7653e9dd70b |
completed | April 10, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f0199f595081908c10ecd7dd3900e7 |
completed | April 28, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:41 p.m.