Triple
T13713149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harmonize |
E328824
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Konde Boy
Konde Boy is the stage name and popular nickname of Tanzanian singer and songwriter Harmonize, known for his Bongo Flava and Afro-pop hits.
|
E1058058
|
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: Konde Boy | Statement: [Harmonize, alsoKnownAs, Konde Boy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Konde Boy Context triple: [Harmonize, alsoKnownAs, Konde Boy]
-
A.
Konjo
Konjo is an Austronesian language spoken by the Konjo people of South Sulawesi, Indonesia.
-
B.
Uma Mbatangu
Uma Mbatangu is a traditional Sumbanese house type characterized by its tall peaked thatched roof and elevated wooden structure, commonly found in the Waikabubak area of Indonesia.
-
C.
Bena-Mboi
Bena-Mboi is a group of closely related Niger-Congo languages spoken primarily in parts of Nigeria.
-
D.
Manya Krobo
Manya Krobo is a traditional area in southeastern Ghana inhabited predominantly by the Dangme-speaking Krobo people, known for their rich cultural heritage and festivals.
-
E.
Bobo Madaré
Bobo Madaré is an ethnolinguistic group of the Bobo people of West Africa, primarily associated with regions of present-day Burkina Faso and Mali.
- 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: Konde Boy Triple: [Harmonize, alsoKnownAs, Konde Boy]
Generated description
Konde Boy is the stage name and popular nickname of Tanzanian singer and songwriter Harmonize, known for his Bongo Flava and Afro-pop hits.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Konde Boy Target entity description: Konde Boy is the stage name and popular nickname of Tanzanian singer and songwriter Harmonize, known for his Bongo Flava and Afro-pop hits.
-
A.
Konjo
Konjo is an Austronesian language spoken by the Konjo people of South Sulawesi, Indonesia.
-
B.
Uma Mbatangu
Uma Mbatangu is a traditional Sumbanese house type characterized by its tall peaked thatched roof and elevated wooden structure, commonly found in the Waikabubak area of Indonesia.
-
C.
Bena-Mboi
Bena-Mboi is a group of closely related Niger-Congo languages spoken primarily in parts of Nigeria.
-
D.
Manya Krobo
Manya Krobo is a traditional area in southeastern Ghana inhabited predominantly by the Dangme-speaking Krobo people, known for their rich cultural heritage and festivals.
-
E.
Bobo Madaré
Bobo Madaré is an ethnolinguistic group of the Bobo people of West Africa, primarily associated with regions of present-day Burkina Faso and Mali.
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dd4395e8c0819098719c8cd344aa33 |
completed | April 13, 2026, 7:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d56a90081908158dcf4ee061fb6 |
completed | May 3, 2026, 7:09 p.m. |
| NEDg | Description generation | batch_69f7a15f3c908190be380355972def6e |
completed | May 3, 2026, 7:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7a2234390819093814fd435f9c42c |
completed | May 3, 2026, 7:29 p.m. |
Created at: April 9, 2026, 9:54 p.m.