Triple
T14122138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | We Don’t Talk About Bruno |
E339929
|
entity |
| Predicate | musicalStyleInfluence |
P103635
|
FINISHED |
| Object | Colombian 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: Colombian music | Statement: [We Don’t Talk About Bruno, musicalStyleInfluence, Colombian music]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicalStyleInfluence Context triple: [We Don’t Talk About Bruno, musicalStyleInfluence, Colombian music]
-
A.
influencesMusicOf
Indicates that one entity has an effect on, shapes, or contributes to the musical style, content, or development of another entity.
-
B.
hasGenreInfluenceOn
Indicates that one genre has a notable impact on shaping or influencing the characteristics, style, or development of another genre.
-
C.
movementInfluences
Indicates that one entity’s movement affects, alters, or determines the movement or motion-related behavior of another entity.
-
D.
influenceOnGenre
chosen
Indicates how strongly one entity has shaped, affected, or contributed to the development or characteristics of a particular genre.
-
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_69d81c6a95b481909e39111e0c1f31ee |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de6095548881908a9e66adccca92d2 |
completed | April 14, 2026, 3:43 p.m. |
| PD | Predicate disambiguation | batch_69de05b5e7a08190a16be9ad8b92b80c |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:22 p.m.