Triple
T31028201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ryan Blaney |
E790639
|
entity |
| Predicate | madeCupSeriesDebut |
P60224
|
FINISHED |
| Object | 2014 |
—
|
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: 2014 | Statement: [Ryan Blaney, madeCupSeriesDebut, 2014]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: madeCupSeriesDebut Context triple: [Ryan Blaney, madeCupSeriesDebut, 2014]
-
A.
startedCupCareer
Indicates that an entity began its participation or professional involvement in a cup-based competition or series at a specified time or event.
-
B.
madeProfessionalDebutIn
chosen
Indicates the time or event in which an individual first performed or appeared in a professional capacity within a given field or organization.
-
C.
totalCupSeriesStarts
Indicates the total number of times an entity has started in Cup Series events.
-
D.
debutedWith
Indicates that an entity made its first public appearance, release, or introduction in association with another specified entity.
-
E.
numberOfCupSeriesChampionships
Indicates the total count of Cup Series championships that an entity has won.
- 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_69f697eabb048190bc01a830f14942c6 |
completed | May 3, 2026, 12:33 a.m. |
| PD | Predicate disambiguation | batch_69f69664142c8190bc695501056b0236 |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 29, 2026, 8:58 p.m.