Triple
T12243745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ricky Stenhouse Jr. |
E291797
|
entity |
| Predicate | earlyCareerDiscipline |
P61890
|
FINISHED |
| Object | sprint car racing |
—
|
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: sprint car racing | Statement: [Ricky Stenhouse Jr., earlyCareerDiscipline, sprint car racing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: earlyCareerDiscipline Context triple: [Ricky Stenhouse Jr., earlyCareerDiscipline, sprint car racing]
-
A.
earlyCareerActivity
chosen
Indicates activities, roles, or engagements undertaken by an entity during the early stage of its career or professional development.
-
B.
earlyCareerGenre
Indicates the genre or style that characterized an entity’s work during its early career phase.
-
C.
earlyCareerCoach
Indicates that one entity serves as a coach or mentor to another during the early stage of that other entity’s career.
-
D.
studCareerBegan
Indicates that a student's professional or academic career started at a specified time or institution.
-
E.
studiedByDiscipline
Indicates that a subject (such as a phenomenon, object, or concept) is examined, analyzed, or researched within a particular academic or professional discipline.
- 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91d38ee10819093ed41d2954bf4ef |
completed | April 10, 2026, 3:54 p.m. |
| PD | Predicate disambiguation | batch_69d91c46dcd88190a263db30804bff36 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:51 p.m.