Triple
T13672615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naseeb Jr. |
E327787
|
entity |
| Predicate | notableFamilyMember |
P367
|
FINISHED |
| Object | Tanasha Donna |
E1053113
|
NE FINISHED |
How this triple was built (2 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: Tanasha Donna | Statement: [Naseeb Jr., notableFamilyMember, Tanasha Donna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tanasha Donna Context triple: [Naseeb Jr., notableFamilyMember, Tanasha Donna]
-
A.
Tanasha Donna
chosen
Tanasha Donna is a Kenyan singer, model, and media personality known for her music career and high-profile relationship with Tanzanian artist Diamond Platnumz.
-
B.
Donna
Donna is a feminine given name of Italian origin that has been widely used in English-speaking countries.
-
C.
Tasha Davenport
Tasha Davenport is a central character in the Disney XD series "Lab Rats," known as Leo's caring mother and Donald Davenport's wife who becomes involved with the bionic teens.
-
D.
Dameisha
Dameisha is a popular coastal area in Shenzhen, China, best known for its long sandy beach, seaside resorts, and recreational attractions.
-
E.
Sharissa
Sharissa is a musical artist known for her featured performance on the track "Masquerade."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69f7943bfaf0819097410e901847d77c |
completed | May 3, 2026, 6:30 p.m. |
Created at: April 9, 2026, 9:53 p.m.