Triple
T14679176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roman Zolanski |
E344730
|
entity |
| Predicate | usedForArtisticPurpose |
P115296
|
FINISHED |
| Object | exploration of anger |
—
|
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: exploration of anger | Statement: [Roman Zolanski, usedForArtisticPurpose, exploration of anger]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedForArtisticPurpose Context triple: [Roman Zolanski, usedForArtisticPurpose, exploration of anger]
-
A.
artUse
Indicates that one entity uses, applies, or employs another entity within an artistic or creative context.
-
B.
hasArtisticOrigin
Indicates that something originates from, is derived from, or is rooted in an artistic source, style, or tradition.
-
C.
publicArt
Indicates that something is an artwork installed or displayed in a publicly accessible space.
-
D.
includesArtBy
Indicates that one entity contains, features, or presents artwork created by another entity.
-
E.
hasArtisticPolicy
Indicates that an entity maintains or follows a defined set of principles or guidelines governing artistic choices, practices, or direction.
- 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb5692284819090f775be8e478522 |
completed | April 14, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69de6579fb7881909becc8f5822b39d4 |
completed | April 14, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69de716c17cc8190aeb85296abee85a7 |
completed | April 14, 2026, 4:55 p.m. |
Created at: April 10, 2026, 1:27 a.m.