Triple
T7424865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raider Red |
E171342
|
entity |
| Predicate | coMascotWith |
P38976
|
FINISHED |
| Object | Masked Rider |
E171343
|
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: Masked Rider | Statement: [Raider Red, coMascotWith, Masked Rider]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Masked Rider Context triple: [Raider Red, coMascotWith, Masked Rider]
-
A.
Masked Rider
chosen
Masked Rider is the horseback-riding costumed mascot of Texas Tech University, known for leading the football team onto the field atop a black horse.
-
B.
GhostRider
GhostRider is a large, wooden roller coaster at Knott's Berry Farm known for its intense, high-speed layout and classic out-and-back design.
-
C.
Red Demon
Red Demon is the fierce athletic mascot representing Dodge City High School’s sports teams and school spirit.
-
D.
Rider
Rider is a cross-platform integrated development environment by JetBrains, widely used for .NET and C# development.
-
E.
Iron Felix
Iron Felix is the nickname of Felix Dzerzhinsky, the Soviet revolutionary who founded and led the Cheka, the Bolshevik secret police.
- 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_69c68a625d048190af70eb8b63bec5a0 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f302b33481908eae877970f2bbdf |
completed | March 27, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81f048e0c819080f51784e1099cac |
completed | March 28, 2026, 6:33 p.m. |
Created at: March 27, 2026, 3:12 p.m.