Triple
T37652160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tambor de Mina |
E937201
|
entity |
| Predicate | hasRitualMusicStyle |
P45796
|
FINISHED |
| Object | Afro-Brazilian drumming patterns |
—
|
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: Afro-Brazilian drumming patterns | Statement: [Tambor de Mina, hasRitualMusicStyle, Afro-Brazilian drumming patterns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRitualMusicStyle Context triple: [Tambor de Mina, hasRitualMusicStyle, Afro-Brazilian drumming patterns]
-
A.
hasRitualMusic
Indicates that one entity is associated with or characterized by ritual music used in formal or ceremonial practices.
-
B.
hasRitual
Indicates that an entity performs, observes, or is associated with a specific ritual or ceremonial practice.
-
C.
hasMusicalStyleCharacteristic
chosen
Indicates that something possesses or exhibits a particular musical style as a defining characteristic.
-
D.
hasRitualElements
Indicates that one entity incorporates, contains, or is characterized by ritualistic components, practices, or features associated with formalized ceremonies or rites.
-
E.
hasRituals
Indicates that one entity performs, observes, or is associated with specific rituals 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_69f76ed4fe908190b8061c5c135e0971 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd6a1c1c4881908090053bc359b181 |
completed | May 8, 2026, 4:44 a.m. |
| PD | Predicate disambiguation | batch_69fd696f24d8819091033afacbdaadc5 |
completed | May 8, 2026, 4:41 a.m. |
Created at: May 3, 2026, 4:18 p.m.