Triple
T3546080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murray State University |
E74999
|
entity |
| Predicate | athleticNickname |
P55
|
FINISHED |
| Object |
Racers
The Racers are the athletic teams representing Murray State University in intercollegiate sports.
|
E367507
|
NE FINISHED |
How this triple was built (4 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: Racers | Statement: [Murray State University, athleticNickname, Racers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Racers Context triple: [Murray State University, athleticNickname, Racers]
-
A.
RC Racer
RC Racer is a high-speed, U-shaped shuttle roller coaster themed after the remote-control car from Pixar's Toy Story films.
-
B.
Derby Racer
Derby Racer is a classic wooden racing carousel-style amusement ride known for its high-speed, side-by-side galloping horses.
-
C.
Wacky Races
Wacky Races is an animated comedy television series featuring a cast of eccentric racers and outrageous vehicles competing in chaotic, slapstick-filled car races.
-
D.
Speed Racer
Speed Racer is a 2008 live-action film adaptation of the classic Japanese anime and manga series, known for its hyper-stylized visuals and high-octane racing sequences.
-
E.
Turbo
Turbo is a Colombian port city in the Antioquia Department, located on the Gulf of Urabá and known as a key gateway between the interior of Colombia and the Caribbean Sea.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Racers Triple: [Murray State University, athleticNickname, Racers]
Generated description
The Racers are the athletic teams representing Murray State University in intercollegiate sports.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Racers Target entity description: The Racers are the athletic teams representing Murray State University in intercollegiate sports.
-
A.
RC Racer
RC Racer is a high-speed, U-shaped shuttle roller coaster themed after the remote-control car from Pixar's Toy Story films.
-
B.
Derby Racer
Derby Racer is a classic wooden racing carousel-style amusement ride known for its high-speed, side-by-side galloping horses.
-
C.
Wacky Races
Wacky Races is an animated comedy television series featuring a cast of eccentric racers and outrageous vehicles competing in chaotic, slapstick-filled car races.
-
D.
Speed Racer
Speed Racer is a 2008 live-action film adaptation of the classic Japanese anime and manga series, known for its hyper-stylized visuals and high-octane racing sequences.
-
E.
Turbo
Turbo is a 2013 animated sports-comedy film from DreamWorks Animation about a garden snail who gains incredible speed and pursues his dream of racing in the Indianapolis 500.
- F. None of above. chosen
Provenance (5 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_69ad85d33c6c819081d5ac1df13b5680 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbf77d938819095c72a88b5af644a |
completed | March 8, 2026, 6:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b38be29b408190a8dba8c8ae2485a4 |
completed | March 13, 2026, 4 a.m. |
| NEDg | Description generation | batch_69b38c6dbfcc8190897d0c12e8ce4416 |
completed | March 13, 2026, 4:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b38cf9d8188190adb91671d062a6f9 |
completed | March 13, 2026, 4:05 a.m. |
Created at: March 8, 2026, 3:20 p.m.