Triple
T23970328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stylish Star |
E604209
|
entity |
| Predicate | isUsedInFanArt |
P34220
|
FINISHED |
| Object | frequently |
—
|
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: frequently | Statement: [Stylish Star, isUsedInFanArt, frequently]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isUsedInFanArt Context triple: [Stylish Star, isUsedInFanArt, frequently]
-
A.
appearsInWorkOfArt
Indicates that an entity is depicted, represented, or otherwise featured within a particular work of art.
-
B.
commonlyDepictedOn
chosen
Indicates that something is frequently shown or represented on the surface, medium, or context of another thing.
-
C.
usedInFictionalWork
Indicates that something (such as a concept, object, or character) appears or is employed within a specific fictional work.
-
D.
artUse
Indicates that one entity uses, applies, or employs another entity within an artistic or creative context.
-
E.
hasNotableIllustrationsOf
Indicates that something contains or features particularly significant or noteworthy illustrations depicting another entity or subject.
- 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_69e29543019c8190872462e593cc50b4 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d1db392c8190a1044b75b898243a |
completed | April 29, 2026, 9:39 a.m. |
| PD | Predicate disambiguation | batch_69f161578d54819084a8b35496299993 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:25 p.m.