Triple
T9929204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Raiders |
E192599
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Texas Tech 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: Texas Tech Masked Rider | Statement: [Red Raiders, associatedWith, Texas Tech Masked Rider]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Texas Tech Masked Rider Context triple: [Red Raiders, associatedWith, Texas Tech 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.
T-Rac
T-Rac is the raccoon-themed costumed mascot of the NFL’s Tennessee Titans, known for his energetic antics and fan engagement at games and events.
-
C.
T-Ray
T-Ray is a powerful sorcerer and mercenary in Marvel Comics who serves as one of Deadpool’s most dangerous and obsessive arch-enemies.
-
D.
Rider
Rider is a cross-platform integrated development environment by JetBrains, widely used for .NET and C# development.
-
E.
Rider
Rider is a British publishing imprint known for releasing works on spirituality, personal development, and thought-provoking non-fiction.
- 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.