Triple
T13747851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silhouette |
E330262
|
entity |
| Predicate | primaryGenrePeriod |
P63840
|
FINISHED |
| Object | Contemporary jazz |
—
|
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: Contemporary jazz | Statement: [Silhouette, primaryGenrePeriod, Contemporary jazz]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryGenrePeriod Context triple: [Silhouette, primaryGenrePeriod, Contemporary jazz]
-
A.
hasGenrePeriod
chosen
Indicates a relationship where an entity is associated with a specific historical or stylistic period that characterizes its genre.
-
B.
historicallyImportantGenre
Indicates that the subject genre has played a significant and influential role in history or cultural development.
-
C.
earlyCareerGenre
Indicates the genre or style that characterized an entity’s work during its early career phase.
-
D.
formerGenreFocus
Indicates that an entity previously concentrated on or specialized in a particular genre, but no longer does so.
-
E.
musicalEra
Indicates the historical musical period or style with which an entity (such as a composition, performance, or musician) is associated.
- 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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02132a108190aca728b95e83af01 |
completed | April 14, 2026, 9 a.m. |
| PD | Predicate disambiguation | batch_69dbbe950b148190ba0df8a749269ec6 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 10:08 p.m.