Triple
T13672626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diamond Platnumz |
E327787
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Naseeb Jr. |
E327787
|
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: Naseeb Jr. | Statement: [Diamond Platnumz, child, Naseeb Jr.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naseeb Jr. Context triple: [Diamond Platnumz, child, Naseeb Jr.]
-
A.
Naseeb Jr.
chosen
Naseeb Jr. is the son of Tanzanian music star Diamond Platnumz and a young public figure known mainly through his parents’ celebrity status.
-
B.
Laʼeeb
Laʼeeb is the animated, turban-like character that served as the official mascot of the 2022 FIFA World Cup in Qatar.
-
C.
Nasib
Nasib is a given name most notably borne by Nasib Yusifbeyli, an Azerbaijani statesman and political figure of the early 20th century.
-
D.
Jab Jab
Jab Jab is a traditional Trinidad and Tobago Carnival masquerade character known for its devilish appearance, use of chains and whips, and energetic, confrontational performances.
-
E.
Zarganar
Zarganar is a prominent Burmese comedian, actor, and dissident known for his sharp political satire and repeated imprisonments under Myanmar’s military regimes.
- 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.