Triple
T23828591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gypsy Queen (Santana arrangement) |
E589451
|
entity |
| Predicate | isFusionOf |
P150168
|
FINISHED |
| Object | jazz composition and Latin rock style |
—
|
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 composition and Latin rock style | Statement: [Gypsy Queen (Santana arrangement), isFusionOf, jazz composition and Latin rock style]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFusionOf Context triple: [Gypsy Queen (Santana arrangement), isFusionOf, jazz composition and Latin rock style]
-
A.
canonicalFusion
Indicates a standard or preferred way in which two or more entities are combined or merged into a single unified entity.
-
B.
hasCoreFusionStage
Indicates that an astronomical object is currently undergoing a specific stage of nuclear fusion in its core.
-
C.
isIntersectionOf
Indicates that something is the exact common part shared by two or more other things, typically where they overlap or meet.
-
D.
dominantFusionProcess
Indicates that one fusion process is the primary or prevailing mechanism compared to other possible fusion processes in a given context.
-
E.
isBlended
chosen
Indicates that one entity has been mixed or combined thoroughly with another (or others) to form a uniform whole.
- 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_69e25d1922d481909cab567c06a802ab |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c7f304f08190bd965df06f013b3f |
completed | April 29, 2026, 8:57 a.m. |
| PD | Predicate disambiguation | batch_69f156036ad48190bc2ffdaf39218bcb |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 8 p.m.