Triple
T21419439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Night on the Town |
E528395
|
entity |
| Predicate | featuresGenreBlend |
P14839
|
FINISHED |
| Object | rock, pop, and jazz influences |
—
|
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: rock, pop, and jazz influences | Statement: [A Night on the Town, featuresGenreBlend, rock, pop, and jazz influences]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresGenreBlend Context triple: [A Night on the Town, featuresGenreBlend, rock, pop, and jazz influences]
-
A.
genreFeatures
Indicates that a particular genre is characterized or defined by certain features or attributes.
-
B.
combinesGenre
Indicates that an entity integrates or merges multiple genres into a single combined form or work.
-
C.
musicFusionOf
chosen
Indicates a relationship where one musical work, style, or element is created by combining or blending two or more distinct musical sources or genres.
-
D.
hasGenreFeature
Indicates that something possesses a characteristic, element, or trait associated with a particular genre.
-
E.
genreIncludes
Indicates that a broader genre category encompasses or contains a specified subgenre or work as part of its classification.
- 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_69e0c454c248819093425d1099101c09 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b2ccddc08190b4f66fa6ccda41e2 |
completed | April 22, 2026, 11:36 a.m. |
| PD | Predicate disambiguation | batch_69e61633f8208190a2a849457c4e4198 |
completed | April 20, 2026, 12:04 p.m. |
Created at: April 16, 2026, 5:47 p.m.