Triple
T16572458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MPB |
E402620
|
entity |
| Predicate | associatedWithContext |
P118237
|
FINISHED |
| Object | post-bossa nova era |
—
|
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: post-bossa nova era | Statement: [MPB, associatedWithContext, post-bossa nova era]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithContext Context triple: [MPB, associatedWithContext, post-bossa nova era]
-
A.
appearsInContextWith
chosen
Indicates that two entities are observed or used together within the same situational, textual, or usage context.
-
B.
associatedCurrent
Indicates a relationship where a particular current is linked or connected to another entity as its relevant or corresponding current.
-
C.
associatedWithAssociation
Indicates a relationship where an entity is linked or connected to a particular association or organization.
-
D.
contextOf
Indicates that one entity provides the situational, informational, or environmental background within which another entity exists, occurs, or is interpreted.
-
E.
associatedWithSee
Indicates a relationship where one entity is contextually or functionally linked to another through the act or concept of seeing or visual observation.
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35959f1748190934b263d6bc94143 |
completed | April 18, 2026, 10:13 a.m. |
| PD | Predicate disambiguation | batch_69e296a47b7481909d9958158510c806 |
completed | April 17, 2026, 8:23 p.m. |
Created at: April 10, 2026, 5:16 a.m.