Triple
T29070194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Algo Me Gusta de Ti |
E735792
|
entity |
| Predicate | originatingScene |
P167035
|
FINISHED |
| Object | Latin urban music |
—
|
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: Latin urban music | Statement: [Algo Me Gusta de Ti, originatingScene, Latin urban music]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originatingScene Context triple: [Algo Me Gusta de Ti, originatingScene, Latin urban music]
-
A.
originatedScene
chosen
Indicates that one entity is the original source or starting point scene from which another scene, event, or representation is derived.
-
B.
originatedInShow
Indicates that something (such as a character, concept, or element) first appeared or was introduced in a particular show.
-
C.
originatesAs
Indicates that one entity begins, arises, or comes into existence in the form, state, or role specified by another entity.
-
D.
centralScene
Indicates that one scene functions as the main or focal scene within a larger narrative, sequence, or composition.
-
E.
sharedSceneWith
Indicates that two entities appear together within the same scene or setting.
- 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_69f077e9b0a48190bb79548279cb7f64 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69ff41645c548190b7cb4e53079b93ef |
completed | May 9, 2026, 2:15 p.m. |
| PD | Predicate disambiguation | batch_69ff410aa33c8190869ba769ac2a93ce |
completed | May 9, 2026, 2:13 p.m. |
Created at: April 28, 2026, 10:19 a.m.