Triple
T37897322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kareem Campbell |
E945314
|
entity |
| Predicate | roleInSkateboarding |
P204037
|
FINISHED |
| Object | pioneer of modern street skating |
—
|
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: pioneer of modern street skating | Statement: [Kareem Campbell, roleInSkateboarding, pioneer of modern street skating]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInSkateboarding Context triple: [Kareem Campbell, roleInSkateboarding, pioneer of modern street skating]
-
A.
roleAtRealSkateboards
Indicates that an entity holds or held a specific role or position at Real Skateboards.
-
B.
skateboardingDiscipline
Indicates the specific type or category of skateboarding (such as street, park, or vert) associated with an entity.
-
C.
skating style
Indicates the particular technique or manner in which an entity performs skating.
-
D.
roleInCobraKai
Indicates that an entity has a specific role or position within the context of Cobra Kai.
-
E.
skatingDiscipline
Indicates the specific type or category of skating discipline associated with an entity (e.g., figure, speed, ice dance).
- 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_69f76ef0e8708190987c7254ed8c7abe |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a030f1480148190a5e8c8926ded252c |
completed | May 12, 2026, 11:29 a.m. |
| PD | Predicate disambiguation | batch_6a030e7f5fa481909696733defefcc20 |
completed | May 12, 2026, 11:26 a.m. |
| PDg | Predicate description generation | batch_6a030f139b688190b3611d96b091c09e |
completed | May 12, 2026, 11:29 a.m. |
Created at: May 3, 2026, 4:19 p.m.