Triple
T13630112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Afro-Lucians |
E325690
|
entity |
| Predicate | musicGenre |
P14
|
FINISHED |
| Object | Zouk |
E825024
|
NE 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: Zouk | Statement: [Afro-Lucians, musicGenre, Zouk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zouk Context triple: [Afro-Lucians, musicGenre, Zouk]
-
A.
Zouk
chosen
Zouk is a fast-paced, dance-oriented music genre that originated in the French Caribbean, particularly Guadeloupe and Martinique, blending African, Caribbean, and European influences.
-
B.
Zouk Mikael
Zouk Mikael is a coastal town in Lebanon known for its traditional architecture, cultural festivals, and proximity to Beirut.
-
C.
Rumba
Rumba is one of the spacecraft in the Cluster mission, a European Space Agency project studying Earth's magnetosphere in three dimensions.
-
D.
Rumba
Rumba is a lively Cuban musical composition by George Gershwin, later known as the "Cuban Overture," that blends Afro-Cuban rhythms with symphonic orchestration.
-
E.
Salsa
Salsa is one of the spacecraft in the European Space Agency’s Cluster mission, designed to study Earth’s magnetosphere and its interaction with the solar wind.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbbe9ea9088190a17270dec82bbcaa |
completed | April 12, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77fa895f081908f72a0746afeabed |
completed | May 3, 2026, 5:02 p.m. |
Created at: April 9, 2026, 9:51 p.m.