Triple
T31028225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ryan Blaney |
E790639
|
entity |
| Predicate | isThirdGenerationDriver |
P170683
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Ryan Blaney, isThirdGenerationDriver, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isThirdGenerationDriver Context triple: [Ryan Blaney, isThirdGenerationDriver, true]
-
A.
hasMigrationDriver
Indicates that one factor or condition serves as a driving cause or motivation for a migration event or process.
-
B.
isConsideredLegacy
Indicates that something is regarded as outdated or superseded, typically maintained only for backward compatibility or historical reasons.
-
C.
hasDevelopmentDriver
Indicates that one entity serves as a driving factor, cause, or motivator for the development, growth, or advancement of another entity.
-
D.
supportsDriverType
Indicates that one entity is compatible with, or able to operate using, a specified type of driver.
-
E.
isYoungerVersionOf
Indicates that one entity represents the same individual as another entity, but at an earlier, younger stage in their life.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69f6938244648190a553b532387b812c |
completed | May 3, 2026, 12:14 a.m. |
Created at: April 29, 2026, 8:58 p.m.