Triple
T19486191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jenůfa |
E487516
|
entity |
| Predicate | hasArtFormContext |
P71420
|
FINISHED |
| Object | verismo-influenced opera |
—
|
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: verismo-influenced opera | Statement: [Jenůfa, hasArtFormContext, verismo-influenced opera]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArtFormContext Context triple: [Jenůfa, hasArtFormContext, verismo-influenced opera]
-
A.
hasArtFormPresented
Indicates that an entity presents, showcases, or features a particular art form.
-
B.
hasArtisticMovementContext
chosen
Indicates that something is related to, influenced by, or situated within a particular artistic movement or style.
-
C.
associatedWithArtForm
Indicates a relationship where an entity is connected or linked to a particular art form, such as by practice, creation, representation, or influence.
-
D.
hasArtFeature
Indicates that an entity possesses or is characterized by a particular artistic attribute, element, or stylistic feature.
-
E.
hasArtScene
Indicates that a place or community possesses an active or notable community of artistic activity, events, and institutions.
- 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_69d8e8d924388190b847cb15bb3d0aff |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6343f46e88190b7ba65c210285bee |
completed | April 20, 2026, 2:12 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7883308190b73912a71a35a835 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:39 p.m.