Triple
T35147312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carolina Kostner |
E1014877
|
entity |
| Predicate | skatingStyle |
P50874
|
FINISHED |
| Object | artistic |
—
|
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: artistic | Statement: [Carolina Kostner, skatingStyle, artistic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: skatingStyle Context triple: [Carolina Kostner, skatingStyle, artistic]
-
A.
skating style
chosen
Indicates the particular technique or manner in which an entity performs skating.
-
B.
skatingDiscipline
Indicates the specific type or category of skating discipline associated with an entity (e.g., figure, speed, ice dance).
-
C.
skatingElementType
Indicates the specific type or category of a skating element performed or referenced in a skating activity or program.
-
D.
skatingSeason
Indicates that a specified time period is designated or typically used as the season for skating activities.
-
E.
skateboardingDiscipline
Indicates the specific type or category of skateboarding (such as street, park, or vert) associated with an 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_69f76dda7c108190a2ffd93eb6c341a7 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78cb0fe448190b8f11584fdf36c11 |
completed | May 3, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69f78b9106008190930b3b3675b737d6 |
completed | May 3, 2026, 5:53 p.m. |
Created at: May 3, 2026, 4:02 p.m.