Triple
T31028203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ryan Blaney |
E790639
|
entity |
| Predicate | madeTruckSeriesDebut |
P108059
|
FINISHED |
| Object | 2012 |
—
|
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: 2012 | Statement: [Ryan Blaney, madeTruckSeriesDebut, 2012]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: madeTruckSeriesDebut Context triple: [Ryan Blaney, madeTruckSeriesDebut, 2012]
-
A.
truckSeriesDebut
Indicates the event or point in time when a truck model or series first appeared or was introduced.
-
B.
truckSeriesDebutYear
chosen
Indicates the year in which a particular truck series was first introduced or debuted.
-
C.
featuredVehicleDebut
Indicates that a particular vehicle made its first prominent or notable appearance in the referenced context or work.
-
D.
TruckOfTheYearIs
Indicates that one entity has been designated as the "Truck of the Year" for the other entity (such as a specific award, organization, or year).
-
E.
yearFirstDelivered
Indicates the calendar year in which something (such as a product, service, or item) was first delivered or made available.
- 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_69f224c97a788190b5da1ead6038a74e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f694c01a788190be70a808d59947b1 |
completed | May 3, 2026, 12:20 a.m. |
| PD | Predicate disambiguation | batch_69f690f13d7481908ddfefe95df2a1c2 |
completed | May 3, 2026, 12:04 a.m. |
Created at: April 29, 2026, 8:58 p.m.