Triple
T6683867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miriam Makeba |
E152051
|
entity |
| Predicate | notableAlbum |
P4
|
FINISHED |
| Object |
Sangoma
Sangoma is a 1988 album by South African singer and activist Miriam Makeba that draws heavily on traditional African songs and spiritual themes.
|
E612074
|
NE FINISHED |
How this triple was built (4 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: Sangoma | Statement: [Miriam Makeba, notableAlbum, Sangoma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sangoma Context triple: [Miriam Makeba, notableAlbum, Sangoma]
-
A.
Xola
Xola is a Mexico City Metro station on Line 2 that serves the southern part of the city near the Calzada de Tlalpan corridor.
-
B.
Gonja
Gonja are an ethnic group in northern Ghana known for their distinct language, chieftaincy traditions, and historical Gonja kingdom.
-
C.
Soshanguve
Soshanguve is a large township in the northern part of the Gauteng province of South Africa, known for its diverse population and proximity to Pretoria.
-
D.
Chambeali
Chambeali is an Indo-Aryan language spoken primarily in the Chamba region of Himachal Pradesh in northern India.
-
E.
Ngamo
Ngamo is a West Chadic language spoken primarily in northeastern Nigeria by the Ngamo people.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sangoma Triple: [Miriam Makeba, notableAlbum, Sangoma]
Generated description
Sangoma is a 1988 album by South African singer and activist Miriam Makeba that draws heavily on traditional African songs and spiritual themes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sangoma Target entity description: Sangoma is a 1988 album by South African singer and activist Miriam Makeba that draws heavily on traditional African songs and spiritual themes.
-
A.
Xola
Xola is a Mexico City Metro station on Line 2 that serves the southern part of the city near the Calzada de Tlalpan corridor.
-
B.
Gonja
Gonja are an ethnic group in northern Ghana known for their distinct language, chieftaincy traditions, and historical Gonja kingdom.
-
C.
Soshanguve
Soshanguve is a large township in the northern part of the Gauteng province of South Africa, known for its diverse population and proximity to Pretoria.
-
D.
Chambeali
Chambeali is an Indo-Aryan language spoken primarily in the Chamba region of Himachal Pradesh in northern India.
-
E.
Ngamo
Ngamo is a West Chadic language spoken primarily in northeastern Nigeria by the Ngamo people.
- F. None of above. chosen
Provenance (5 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_69c687f9977c819097e7f5ada4fe522e |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b122df14819082068af37611b691 |
completed | March 27, 2026, 4:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f7ae8f388190a3c78c89b7293804 |
completed | March 27, 2026, 9:33 p.m. |
| NEDg | Description generation | batch_69c6f9f7b4b08190b5c4dab67758af67 |
completed | March 27, 2026, 9:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6fac7c0e881909b4c2058beebda9f |
completed | March 27, 2026, 9:46 p.m. |
Created at: March 27, 2026, 2:04 p.m.