Triple
T22166530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Latin trap |
E547801
|
entity |
| Predicate | derivesFromScene |
P909
|
FINISHED |
| Object | reggaeton scene |
—
|
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: reggaeton scene | Statement: [Latin trap, derivesFromScene, reggaeton scene]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: derivesFromScene Context triple: [Latin trap, derivesFromScene, reggaeton scene]
-
A.
hasInfluenceFromScene
Indicates that something is affected, shaped, or guided by the characteristics or context of a particular scene.
-
B.
featuresSceneFrom
Indicates that one entity (such as a work or media item) includes or presents a particular scene taken from another entity.
-
C.
derivedFrom
chosen
Indicates that one entity originates, is obtained, or is developed from another source entity.
-
D.
isAssociatedWithLabelScene
Indicates that an entity is connected to or involved with a particular labeled scene or scene annotation.
-
E.
containsScene
Indicates that one entity (typically a media item or narrative work) includes or features a particular scene as part of its content.
- 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_69e11e3c4c5c81908d336165816b12e0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a3213ec8190841439dbe470d545 |
completed | April 28, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69e71b41555881909b8e22718974d527 |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:34 p.m.