Triple
T36115977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nick Cassidy |
E1044614
|
entity |
| Predicate | hasRacedInSeries |
P126528
|
FINISHED |
| Object | Super GT GT500 class |
—
|
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: Super GT GT500 class | Statement: [Nick Cassidy, hasRacedInSeries, Super GT GT500 class]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRacedInSeries Context triple: [Nick Cassidy, hasRacedInSeries, Super GT GT500 class]
-
A.
racedInSeries
chosen
Indicates that an entity participated as a competitor in a particular racing series or championship.
-
B.
racedIn
Indicates that an entity participated as a competitor in a particular race or racing event.
-
C.
hadGrandPrix
Indicates that a particular Grand Prix event took place as part of, or was hosted by, a given competition, season, or venue.
-
D.
initiallyRacedWith
Indicates that two entities participated in the same race or competitive event at the beginning of a relevant period or career.
-
E.
hasRacingUseSince
Indicates that an entity has been used for racing starting from a specified point in time.
- 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_69f76e344a4c8190af3858c6d78ba88f |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd82ed2a4c81908bd7797fbd2e3d08 |
completed | May 8, 2026, 6:30 a.m. |
| PD | Predicate disambiguation | batch_69fd814cc10481908e4f8123d35a5d0c |
completed | May 8, 2026, 6:23 a.m. |
Created at: May 3, 2026, 4:08 p.m.