Triple
T24105989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rodney Mullen |
E597222
|
entity |
| Predicate | laterDiscipline |
P55386
|
FINISHED |
| Object | street skateboarding |
—
|
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: street skateboarding | Statement: [Rodney Mullen, laterDiscipline, street skateboarding]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterDiscipline Context triple: [Rodney Mullen, laterDiscipline, street skateboarding]
-
A.
secondaryDiscipline
chosen
Indicates that an entity has an additional, subordinate field of study or area of specialization associated with it, distinct from its primary discipline.
-
B.
currentDiscipline
Indicates the disciplinary field or area of study in which an entity is presently engaged or classified.
-
C.
parentDiscipline
Indicates that one discipline is the broader, higher-level field from which another, more specialized discipline derives or is categorized.
-
D.
subDisciplineOf
Indicates that one discipline is a more specialized or narrower field within another, broader discipline.
-
E.
attractsDiscipline
Indicates a relationship where one entity draws or brings about discipline, order, or self-control in another entity.
- 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_69e288c60f9c8190af948d7354aedbeb |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1de170ee88190a6d57482651f7da9 |
completed | April 29, 2026, 10:31 a.m. |
| PD | Predicate disambiguation | batch_69f17651458c8190bbfd301883e46085 |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 11:01 p.m.