Triple
T35330694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brexton Busch |
E1020306
|
entity |
| Predicate | hasRoleModel |
P103154
|
FINISHED |
| Object | Kyle Busch |
—
|
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: Kyle Busch | Statement: [Brexton Busch, hasRoleModel, Kyle Busch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRoleModel Context triple: [Brexton Busch, hasRoleModel, Kyle Busch]
-
A.
hasRole
Indicates that an entity occupies, performs, or is assigned a specific role or function in relation to another entity or context.
-
B.
hasAccessModel
Indicates that one entity is permitted to use, interact with, or retrieve a particular model controlled by another entity or system.
-
C.
roleModelFor
chosen
Indicates that one entity serves as an example or inspiration that another entity admires and seeks to emulate.
-
D.
roleInEffectiveModels
Indicates that an entity participates in or contributes to the construction, functioning, or interpretation of effective models within a given context.
-
E.
hasMetaRole
Indicates that an entity holds a secondary, contextual, or higher-level role in relation to another role or activity.
- 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_69f76deacf4481908e7735a5a7715b0a |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fe920a437081908d5174e8cf7a53a6 |
completed | May 9, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69fe919a9a6c8190acb4483f386e6db7 |
completed | May 9, 2026, 1:44 a.m. |
Created at: May 3, 2026, 4:03 p.m.