Triple
T17166474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Just Another Victim |
E416624
|
entity |
| Predicate | basedOnGenreFusion |
P14839
|
FINISHED |
| Object | heavy metal and hip hop |
—
|
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: heavy metal and hip hop | Statement: [Just Another Victim, basedOnGenreFusion, heavy metal and hip hop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnGenreFusion Context triple: [Just Another Victim, basedOnGenreFusion, heavy metal and hip hop]
-
A.
combinesGenre
Indicates that an entity integrates or merges multiple genres into a single combined form or work.
-
B.
isOnGenreBlendingAlbum
Indicates that something (typically a song or track) appears on an album characterized by blending or combining multiple musical genres.
-
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.
influencedByGenre
Indicates that something’s characteristics, style, or development are shaped or affected by a particular genre.
-
E.
hasGenreInfluenceOn
Indicates that one genre has a notable impact on shaping or influencing the characteristics, style, or development of another genre.
- 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f915622c8190a6dff0baf0288a62 |
completed | April 18, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69e3830d2a90819092386717dc56f0e8 |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:37 a.m.