Triple
T12371873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ojuelegba |
E295020
|
entity |
| Predicate | featuresArtistInRemix |
P75509
|
FINISHED |
| Object | Skepta |
E292173
|
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: Skepta | Statement: [Ojuelegba, featuresArtistInRemix, Skepta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skepta Context triple: [Ojuelegba, featuresArtistInRemix, Skepta]
-
A.
Skepta
chosen
Skepta is a British grime MC, rapper, and producer known for pioneering the UK grime scene and achieving international success with hits like "Shutdown" and "That's Not Me."
-
B.
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.
-
C.
Sarkodie
Sarkodie is a renowned Ghanaian rapper and songwriter celebrated as one of Africa’s leading hip-hop and Afrobeats artists.
-
D.
Rah Digga
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.
-
E.
Stormzy
Stormzy is a British grime and hip-hop artist known for his politically charged lyrics, chart-topping albums, and major influence on the UK music scene.
- 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_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d94d46007c81908e0f4b590402bf58 |
completed | April 10, 2026, 7:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63ef6084c8190960f0df7e10066e2 |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:54 p.m.