Triple
T34421088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lorez Alexandria |
E883530
|
entity |
| Predicate | musicalGenreBlend |
P181752
|
FINISHED |
| Object | jazz and gospel elements |
—
|
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: jazz and gospel elements | Statement: [Lorez Alexandria, musicalGenreBlend, jazz and gospel elements]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicalGenreBlend Context triple: [Lorez Alexandria, musicalGenreBlend, jazz and gospel elements]
-
A.
musicFusionOf
Indicates a relationship where one musical work, style, or element is created by combining or blending two or more distinct musical sources or genres.
-
B.
hasGenreBlend
chosen
Indicates that something combines or mixes multiple genres into a blended or hybrid form.
-
C.
isOnGenreBlendingAlbum
Indicates that something (typically a song or track) appears on an album characterized by blending or combining multiple musical genres.
-
D.
combinesGenre
Indicates that an entity integrates or merges multiple genres into a single combined form or work.
-
E.
styleOfMusic
Indicates the musical genre or stylistic category that characterizes a piece of music, artist, or performance.
- 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_69f349c2e3b88190a67834eb5bcffeaf |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fda5003cdc8190a558501271389912 |
completed | May 8, 2026, 8:55 a.m. |
| PD | Predicate disambiguation | batch_69fda05bfc2c819096821a5300e9bb24 |
completed | May 8, 2026, 8:35 a.m. |
Created at: May 1, 2026, 2 a.m.