Triple
T13672323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ali Kiba |
E327780
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Macmuga
Macmuga is a popular song by Tanzanian Bongo Flava artist Ali Kiba.
|
E1053034
|
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: Macmuga | Statement: [Ali Kiba, notableWork, Macmuga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Macmuga Context triple: [Ali Kiba, notableWork, Macmuga]
-
A.
Makaroa
Makaroa is one of the smaller, remote islands in the Gambier Islands archipelago of French Polynesia in the South Pacific Ocean.
-
B.
Macuata
Macuata is a province in northern Fiji located on the island of Vanua Levu, known for its sugarcane farming and coastal communities.
-
C.
Murchunga
Murchunga is a traditional jaw harp-like musical instrument known for its twanging, rhythmic sound and cultural significance among the Limbu people of Nepal.
-
D.
Marangona
Marangona is the largest and most famous bell of St Mark's Campanile in Venice, traditionally used to mark the beginning and end of the working day and to signal important civic events.
-
E.
Malaco
Malaco is a popular Scandinavian confectionery brand known for its wide range of candies and licorice products.
- 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: Macmuga Triple: [Ali Kiba, notableWork, Macmuga]
Generated description
Macmuga is a popular song by Tanzanian Bongo Flava artist Ali Kiba.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Macmuga Target entity description: Macmuga is a popular song by Tanzanian Bongo Flava artist Ali Kiba.
-
A.
Makaroa
Makaroa is one of the smaller, remote islands in the Gambier Islands archipelago of French Polynesia in the South Pacific Ocean.
-
B.
Macuata
Macuata is a province in northern Fiji located on the island of Vanua Levu, known for its sugarcane farming and coastal communities.
-
C.
Murchunga
Murchunga is a traditional jaw harp-like musical instrument known for its twanging, rhythmic sound and cultural significance among the Limbu people of Nepal.
-
D.
Marangona
Marangona is the largest and most famous bell of St Mark's Campanile in Venice, traditionally used to mark the beginning and end of the working day and to signal important civic events.
-
E.
Malaco
Malaco is a popular Scandinavian confectionery brand known for its wide range of candies and licorice products.
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc65aab348190a6611f5765f8392d |
completed | April 12, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78b1222648190a70f50e6e5c34593 |
completed | May 3, 2026, 5:51 p.m. |
| NEDg | Description generation | batch_69f78c0030e481909c20f21ddaa480dc |
completed | May 3, 2026, 5:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f78d6d74bc8190ad5476a06e8fd8ad |
completed | May 3, 2026, 6:01 p.m. |
Created at: April 9, 2026, 9:53 p.m.