Triple
T24105988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rodney Mullen |
E597222
|
entity |
| Predicate | earlyDiscipline |
P155085
|
FINISHED |
| Object | freestyle 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: freestyle skateboarding | Statement: [Rodney Mullen, earlyDiscipline, freestyle skateboarding]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: earlyDiscipline Context triple: [Rodney Mullen, earlyDiscipline, freestyle skateboarding]
-
A.
earlyTraining
Indicates that an entity receives or provides training at an early stage relative to a process, development period, or typical timeline.
-
B.
attractsDiscipline
Indicates a relationship where one entity draws or brings about discipline, order, or self-control in another entity.
-
C.
parentDiscipline
Indicates that one discipline is the broader, higher-level field from which another, more specialized discipline derives or is categorized.
-
D.
earlyUse
Indicates that an entity is used or adopted at an unusually early time or stage relative to a typical or expected point of use.
-
E.
regulatesDiscipline
Indicates that one entity establishes or enforces rules, standards, or controls governing the conduct or discipline of another entity.
- 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_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. |
| PDg | Predicate description generation | batch_69f17b58012c81909106b332db399023 |
completed | April 29, 2026, 3:30 a.m. |
Created at: April 17, 2026, 11:01 p.m.