Triple
T13672163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wasafi TV |
E327776
|
entity |
| Predicate | brandOf |
P1500
|
FINISHED |
| Object |
Wasafi brand
Wasafi brand is a prominent Tanzanian entertainment and media conglomerate best known for its music label, television channel, and influential role in East African pop culture.
|
E1053213
|
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: Wasafi brand | Statement: [Wasafi TV, brandOf, Wasafi brand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wasafi brand Context triple: [Wasafi TV, brandOf, Wasafi brand]
-
A.
Bencatel
Bencatel is a civil parish in the municipality of Vila Viçosa, located in Portugal’s Alentejo region.
-
B.
Iman Cosmetics
Iman Cosmetics is a beauty brand founded by supermodel Iman, known for pioneering makeup products designed specifically for women of color.
-
C.
Zarvos
Zarvos is a surname most notably associated with Brazilian pianist and film composer Marcelo Zarvos.
-
D.
Dalmine
Dalmine is an industrial town in northern Italy known for its steel production and manufacturing activities.
-
E.
Fabro
Fabro is a small Italian town in the Umbria region known for its medieval historic center and hilltop setting.
- 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: Wasafi brand Triple: [Wasafi TV, brandOf, Wasafi brand]
Generated description
Wasafi brand is a prominent Tanzanian entertainment and media conglomerate best known for its music label, television channel, and influential role in East African pop culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wasafi brand Target entity description: Wasafi brand is a prominent Tanzanian entertainment and media conglomerate best known for its music label, television channel, and influential role in East African pop culture.
-
A.
Bencatel
Bencatel is a civil parish in the municipality of Vila Viçosa, located in Portugal’s Alentejo region.
-
B.
Iman Cosmetics
Iman Cosmetics is a beauty brand founded by supermodel Iman, known for pioneering makeup products designed specifically for women of color.
-
C.
Zarvos
Zarvos is a surname most notably associated with Brazilian pianist and film composer Marcelo Zarvos.
-
D.
Dalmine
Dalmine is an industrial town in northern Italy known for its steel production and manufacturing activities.
-
E.
Fabro
Fabro is a small Italian town in the Umbria region known for its medieval historic center and hilltop setting.
- 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_69f78d6f02c48190a8f3bc4cb71910a0 |
completed | May 3, 2026, 6:01 p.m. |
Created at: April 9, 2026, 9:53 p.m.