Triple
T30733021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Release |
E782470
|
entity |
| Predicate | hasMusicalStyleComparedToEarlierWork |
P98213
|
FINISHED |
| Object | less electronic |
—
|
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: less electronic | Statement: [Release, hasMusicalStyleComparedToEarlierWork, less electronic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMusicalStyleComparedToEarlierWork Context triple: [Release, hasMusicalStyleComparedToEarlierWork, less electronic]
-
A.
hasMusicalStyleSimilarTo
Indicates that two entities share a comparable or closely related musical style or sound.
-
B.
hasMusicalShiftFromPreviousWork
chosen
Indicates that a work exhibits a notable change in musical style, approach, or characteristics compared to the creator’s immediately preceding work.
-
C.
hasVocalStyleComparedTo
Indicates a comparison between entities based on the similarity or resemblance of their vocal style.
-
D.
hasMusicalStyleCharacteristic
Indicates that something possesses or exhibits a particular musical style as a defining characteristic.
-
E.
hasNotableMelodicSimilarityTo
Indicates that one musical piece shares a clearly recognizable and significant similarity in melody with another.
- 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_69f224ad9f9c81908e02a79ae0001137 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fcc4b700748190ae00b21d09c96695 |
completed | May 7, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fcb0f9d3d881908a049475182fb039 |
completed | May 7, 2026, 3:34 p.m. |
Created at: April 29, 2026, 8:37 p.m.