Triple
T4920607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joey Dunlop |
E110454
|
entity |
| Predicate | awardReceived |
P11
|
FINISHED |
| Object |
FIM Legend
FIM Legend is an honorary title bestowed by the Fédération Internationale de Motocyclisme to recognize motorcyclists of exceptional achievement and lasting impact on the sport.
|
E479723
|
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: FIM Legend | Statement: [Joey Dunlop, awardReceived, FIM Legend]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FIM Legend Context triple: [Joey Dunlop, awardReceived, FIM Legend]
-
A.
Racer
Racer is a classic wooden racing roller coaster located at Kennywood amusement park in Pennsylvania.
-
B.
Racers
The Racers are the athletic teams representing Murray State University in intercollegiate sports.
-
C.
Derby Racer
Derby Racer is a classic wooden racing carousel-style amusement ride known for its high-speed, side-by-side galloping horses.
-
D.
Racer-X
Racer-X is a 1980s post-hardcore/indie rock EP by the band Big Black, known for its abrasive sound, drum machine rhythms, and influential role in underground alternative music.
-
E.
Racer X
Racer X is a mysterious, masked professional driver and key ally to Speed Racer in the 2008 live-action film adaptation of the classic anime.
- 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: FIM Legend Triple: [Joey Dunlop, awardReceived, FIM Legend]
Generated description
FIM Legend is an honorary title bestowed by the Fédération Internationale de Motocyclisme to recognize motorcyclists of exceptional achievement and lasting impact on the sport.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FIM Legend Target entity description: FIM Legend is an honorary title bestowed by the Fédération Internationale de Motocyclisme to recognize motorcyclists of exceptional achievement and lasting impact on the sport.
-
A.
Racer
Racer is a classic wooden racing roller coaster located at Kennywood amusement park in Pennsylvania.
-
B.
Racers
The Racers are the athletic teams representing Murray State University in intercollegiate sports.
-
C.
Derby Racer
Derby Racer is a classic wooden racing carousel-style amusement ride known for its high-speed, side-by-side galloping horses.
-
D.
Racer-X
Racer-X is a 1980s post-hardcore/indie rock EP by the band Big Black, known for its abrasive sound, drum machine rhythms, and influential role in underground alternative music.
-
E.
Racer X
Racer X is a mysterious, masked professional driver and key ally to Speed Racer in the 2008 live-action film adaptation of the classic anime.
- 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_69bd4413f9908190afcff44d7929cc4c |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ffabccc81909115ece1b04e2061 |
completed | March 20, 2026, 4:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be6ff4acd88190a308fbac84d3bad9 |
completed | March 21, 2026, 10:16 a.m. |
| NEDg | Description generation | batch_69be724224a8819085c9989594741e06 |
completed | March 21, 2026, 10:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be72f56c1c8190a80b6e1551289d84 |
completed | March 21, 2026, 10:29 a.m. |
Created at: March 20, 2026, 1:30 p.m.