Triple
T22958935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Violet Hart |
E570839
|
entity |
| Predicate | artisticStreak |
P1851
|
FINISHED |
| Object | visual arts |
—
|
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: visual arts | Statement: [Violet Hart, artisticStreak, visual arts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: artisticStreak Context triple: [Violet Hart, artisticStreak, visual arts]
-
A.
artisticAmbition
Indicates a desire or drive to create, achieve, or excel in artistic or creative pursuits.
-
B.
artisticDirection
Indicates that one entity is responsible for guiding and overseeing the creative or aesthetic vision of another entity or project.
-
C.
artisticRival
Indicates a relationship in which two or more entities compete or oppose each other in the realm of artistic creation or performance.
-
D.
artisticStyle
chosen
Indicates the artistic movement, style, or aesthetic approach that characterizes how something is created or visually expressed.
-
E.
artisticTraining
Indicates that one entity has provided, received, or been involved in formal or informal instruction or education in the arts from or with 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_69e245b212a88190b5259caf51606084 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f181f2ce9c8190977f146771816341 |
completed | April 29, 2026, 3:58 a.m. |
| PD | Predicate disambiguation | batch_69ef3b882e708190b0eb0c87021c75b8 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:47 p.m.