Triple
T33266717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diva (Remix) |
E851667
|
entity |
| Predicate | hasTempoRelationToOriginal |
P192379
|
FINISHED |
| Object | similar or slightly modified from Diva |
—
|
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: similar or slightly modified from Diva | Statement: [Diva (Remix), hasTempoRelationToOriginal, similar or slightly modified from Diva]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTempoRelationToOriginal Context triple: [Diva (Remix), hasTempoRelationToOriginal, similar or slightly modified from Diva]
-
A.
hasTempoRelativeToOriginal
chosen
Indicates that one entity’s tempo is defined or measured in relation to the tempo of an original reference version.
-
B.
hasTempoChanges
Indicates that the tempo of the piece or segment changes over its duration, rather than remaining constant.
-
C.
hasTempoVariety
Indicates that an entity exhibits variation or changes in tempo rather than maintaining a constant speed.
-
D.
hasFamousVersionTempo
Indicates that one entity is a tempo that characterizes a well-known or widely recognized version of another entity (such as a musical work or performance).
-
E.
hasTempoOrientation
Indicates that one entity is characterized by a particular temporal direction or alignment (such as past-, present-, or future-oriented) in relation to another entity or context.
- 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_69f349642dac81908a37ffcc3b976a55 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd82ed2a4c81908bd7797fbd2e3d08 |
completed | May 8, 2026, 6:30 a.m. |
| PD | Predicate disambiguation | batch_69fd814cc10481908e4f8123d35a5d0c |
completed | May 8, 2026, 6:23 a.m. |
Created at: May 1, 2026, 1:32 a.m.