Triple
T4994739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Dunlop |
E112216
|
entity |
| Predicate | hasRacedFor |
P60038
|
FINISHED |
| Object | various factory and privateer teams |
—
|
LITERAL 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: various factory and privateer teams | Statement: [Michael Dunlop, hasRacedFor, various factory and privateer teams]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRacedFor Context triple: [Michael Dunlop, hasRacedFor, various factory and privateer teams]
-
A.
racedIn
Indicates that an entity participated as a competitor in a particular race or racing event.
-
B.
racedForTeam
chosen
Indicates that an individual competed in races as a member or representative of a specific team.
-
C.
raceWon
Indicates that one participant has achieved victory in a race or competitive event over others.
-
D.
racesEntered
Indicates that an entity has participated in or registered for one or more races.
-
E.
raceWins
Indicates that one participant wins or finishes ahead of another in a race or competitive event.
- F. None of above.
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_69bd4432b32c81909f3b3c6bd10f0653 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7472a1dc8190942f568a81fdd961 |
completed | March 20, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69bd714aee2481908fb0dd5fa2daf3a1 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:34 p.m.