Triple
T36073268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leavine Family Racing |
E1043422
|
entity |
| Predicate | bestRaceFinishDriver |
P82783
|
FINISHED |
| Object | Matt DiBenedetto |
—
|
NE NERFINISHED |
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: Matt DiBenedetto | Statement: [Leavine Family Racing, bestRaceFinishDriver, Matt DiBenedetto]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestRaceFinishDriver Context triple: [Leavine Family Racing, bestRaceFinishDriver, Matt DiBenedetto]
-
A.
bestRaceFinishPositionAchievedByDriver
chosen
Indicates the best (highest-ranking) race finishing position that a particular driver has ever achieved.
-
B.
bestRaceFinish
Indicates the highest (best) finishing position an entity has achieved in a race.
-
C.
bestDriver
Indicates that the subject is considered the most skilled or highest-performing driver within a specified group or context.
-
D.
fastestLapDriver
Indicates the driver who recorded the quickest lap time in a given race or session.
-
E.
polePositionDriverNationality
Indicates the nationality associated with the driver who secured pole position in a race.
- 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_69f76e2fd3248190b900d9a492bf5a7a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7bbf906d8819099020e548dd56bc9 |
completed | May 3, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a2dcf88190a7c9e109e41267be |
completed | May 3, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:08 p.m.