Triple
T21455303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Got Next |
E529323
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Thembisa
Thembisa is a music producer known for working on the hip-hop album "I Got Next."
|
E1485315
|
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: Thembisa | Statement: [I Got Next, producer, Thembisa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thembisa Context triple: [I Got Next, producer, Thembisa]
-
A.
Thokoza
Thokoza is a township in the East Rand region of Gauteng, South Africa, historically known for its role in anti-apartheid struggles and community activism.
-
B.
Thandiani
Thandiani is a scenic hill station in Pakistan’s Khyber Pakhtunkhwa province, known for its cool climate, lush forests, and panoramic mountain views.
-
C.
Matamela
Matamela is the first given name of South African president Cyril Ramaphosa, reflecting his full birth name Matamela Cyril Ramaphosa.
-
D.
Zwelitsha
Zwelitsha is a township in the Eastern Cape province of South Africa that forms part of the Buffalo City metropolitan area near King William’s Town.
-
E.
Uthina
Uthina is an ancient Roman city in eastern Tunisia known for its well-preserved archaeological remains, including an amphitheater, forum, and baths.
- 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: Thembisa Triple: [I Got Next, producer, Thembisa]
Generated description
Thembisa is a music producer known for working on the hip-hop album "I Got Next."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thembisa Target entity description: Thembisa is a music producer known for working on the hip-hop album "I Got Next."
-
A.
Thokoza
Thokoza is a township in the East Rand region of Gauteng, South Africa, historically known for its role in anti-apartheid struggles and community activism.
-
B.
Thandiani
Thandiani is a scenic hill station in Pakistan’s Khyber Pakhtunkhwa province, known for its cool climate, lush forests, and panoramic mountain views.
-
C.
Matamela
Matamela is the first given name of South African president Cyril Ramaphosa, reflecting his full birth name Matamela Cyril Ramaphosa.
-
D.
Zwelitsha
Zwelitsha is a township in the Eastern Cape province of South Africa that forms part of the Buffalo City metropolitan area near King William’s Town.
-
E.
Uthina
Uthina is an ancient Roman city in eastern Tunisia known for its well-preserved archaeological remains, including an amphitheater, forum, and baths.
- 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_69e0c458133481908ae8b41a12c4edec |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9d612e081909d00ca59a3621cc9 |
completed | April 23, 2026, 9:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09c90ebd488190ab2ee8f8af98d1ae |
completed | May 17, 2026, 1:56 p.m. |
| NEDg | Description generation | batch_6a09c9a6b84881908f9193b89ded7361 |
completed | May 17, 2026, 1:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09caa391588190808eb3dcaff07803 |
completed | May 17, 2026, 2:03 p.m. |
Created at: April 16, 2026, 6:08 p.m.