Triple
T3127152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bad News |
E65323
|
entity |
| Predicate | hasArtworkStyle |
P1851
|
FINISHED |
| Object | minimalist (via 808s & Heartbreak cover) |
—
|
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: minimalist (via 808s & Heartbreak cover) | Statement: [Bad News, hasArtworkStyle, minimalist (via 808s & Heartbreak cover)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArtworkStyle Context triple: [Bad News, hasArtworkStyle, minimalist (via 808s & Heartbreak cover)]
-
A.
artisticStyle
chosen
Indicates the artistic movement, style, or aesthetic approach that characterizes how something is created or visually expressed.
-
B.
hasArtisticGenre
Indicates that an entity (such as a work or creation) belongs to or is characterized by a particular artistic genre.
-
C.
artisticCharacteristic
Indicates that one entity possesses or exhibits a particular artistic quality, style, or trait in relation to another.
-
D.
hasArtisticDiscipline
Indicates that one entity practices, specializes in, or is associated with a particular artistic discipline or field.
-
E.
artworkBy
Indicates that one entity is the creator or artist responsible for producing the other entity as an artwork.
- 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_69ad8580c72481909672d37acf647893 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada544cb648190b5ed430dbd561d52 |
completed | March 8, 2026, 4:35 p.m. |
| PD | Predicate disambiguation | batch_69ad9df62e548190b053e1478deed467 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:04 p.m.