Triple
T13745151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rah Digga |
E330192
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Rah Digga |
E330192
|
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: Rah Digga | Statement: [Rah Digga, name, Rah Digga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rah Digga Context triple: [Rah Digga, name, Rah Digga]
-
A.
Rah Digga
chosen
Rah Digga is an American rapper and former member of Busta Rhymes' Flipmode Squad, known for her sharp lyricism and influential role among women in East Coast hip hop.
-
B.
Dappy
Dappy is a British rapper, singer, and songwriter best known as a member of the hip hop group N-Dubz.
-
C.
Dizzee Rascal
Dizzee Rascal is a British rapper, songwriter, and producer known as a pioneer of the grime genre and for hits like "Fix Up, Look Sharp" and "Bonkers."
-
D.
Tinie Tempah
Tinie Tempah is a British rapper and songwriter known for his chart-topping hits and influential role in the UK grime and hip-hop scenes.
-
E.
Phyno
Phyno is a Nigerian rapper, singer, and record producer known for his Igbo-language hip-hop and collaborations across the Afrobeats and rap scenes.
- 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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0211ba5481909fbd5b447e3d5a02 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b06b7d1481909a318086d76d3af0 |
completed | May 3, 2026, 8:30 p.m. |
Created at: April 9, 2026, 10:08 p.m.