Triple
T9929205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Raiders |
E192599
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Raider Red |
E171342
|
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: Raider Red | Statement: [Red Raiders, associatedWith, Raider Red]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raider Red Context triple: [Red Raiders, associatedWith, Raider Red]
-
A.
Raider Red
chosen
Raider Red is one of Texas Tech University's costumed mascots, known for his Wild West gunslinger persona and energetic presence at athletic events.
-
B.
Maroon and Gold
"Maroon and Gold" is the official fight song of Arizona State University's Sun Devils athletic teams.
-
C.
Aggie Blue
Aggie Blue is the distinctive deep blue color traditionally associated with the athletic teams and branding of the University of California, Davis.
-
D.
Maize and Blue
Maize and Blue is a nickname referring to the University of Michigan Wolverines, derived from the school’s iconic colors.
-
E.
Chicago maroon and burnt orange
Chicago maroon and burnt orange are the distinctive official colors associated with Virginia Tech’s athletic teams and branding.
- 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_69ca82dd978c8190947124ab0d3315ac |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb5b215c481909e0bca43f158bd82 |
completed | April 2, 2026, 12:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20e258e888190ae4e2abac80e3399 |
completed | April 5, 2026, 7:24 a.m. |
Created at: March 30, 2026, 8:43 p.m.