Triple
T12273279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brenda Fassie |
E292522
|
entity |
| Predicate | notableAlbum |
P4
|
FINISHED |
| Object |
Memeza
Memeza is a hugely popular 1997 Afro-pop album by South African singer Brenda Fassie, known for its powerful vocals and socially conscious themes.
|
E974736
|
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: Memeza | Statement: [Brenda Fassie, notableAlbum, Memeza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Memeza Context triple: [Brenda Fassie, notableAlbum, Memeza]
-
A.
Mehunaise
Mehunaise is the French demonym for a female inhabitant of the town of Mehun-sur-Yèvre in central France.
-
B.
Meehni
Meehni is one of the three iconic sandstone rock pillars known as the Three Sisters in the Blue Mountains of New South Wales, Australia.
-
C.
Mengistu
Mengistu is a male given name of Ethiopian origin, notably borne by several prominent Ethiopian political and military figures.
-
D.
Mezze
Mezze is a selection of small, flavorful dishes commonly served as appetizers or shared plates throughout the cuisines of the Eastern Mediterranean and Middle East.
-
E.
Wazwan
Wazwan is a lavish multi-course feast from Kashmir, renowned for its rich meat-based dishes and central role in weddings and special celebrations.
- 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: Memeza Triple: [Brenda Fassie, notableAlbum, Memeza]
Generated description
Memeza is a hugely popular 1997 Afro-pop album by South African singer Brenda Fassie, known for its powerful vocals and socially conscious themes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Memeza Target entity description: Memeza is a hugely popular 1997 Afro-pop album by South African singer Brenda Fassie, known for its powerful vocals and socially conscious themes.
-
A.
Mehunaise
Mehunaise is the French demonym for a female inhabitant of the town of Mehun-sur-Yèvre in central France.
-
B.
Meehni
Meehni is one of the three iconic sandstone rock pillars known as the Three Sisters in the Blue Mountains of New South Wales, Australia.
-
C.
Mengistu
Mengistu is a male given name of Ethiopian origin, notably borne by several prominent Ethiopian political and military figures.
-
D.
Mezze
Mezze is a selection of small, flavorful dishes commonly served as appetizers or shared plates throughout the cuisines of the Eastern Mediterranean and Middle East.
-
E.
Wazwan
Wazwan is a lavish multi-course feast from Kashmir, renowned for its rich meat-based dishes and central role in weddings and special celebrations.
- 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_69d6ab6856488190b5d31178d5015f8e |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cee7158819093fff74db6867896 |
completed | April 10, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e6b50a48190b1beabd149d5830f |
completed | May 2, 2026, 3:55 p.m. |
| NEDg | Description generation | batch_69f61f9386548190a749445a404db3a2 |
completed | May 2, 2026, 4 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6207f164c8190b663a50ee3c761d6 |
completed | May 2, 2026, 4:04 p.m. |
Created at: April 8, 2026, 9:52 p.m.