Triple
T2713493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wizkid |
E59913
|
entity |
| Predicate | collaboratedWith |
P435
|
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: [Wizkid, collaboratedWith, Skepta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skepta Context triple: [Wizkid, collaboratedWith, 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.
Sarkodie
Sarkodie is a renowned Ghanaian rapper and songwriter celebrated as one of Africa’s leading hip-hop and Afrobeats artists.
-
C.
Wale
Wale is an American rapper and songwriter known for his witty wordplay, poetic lyricism, and hits like "Lotus Flower Bomb" and "Bad."
-
D.
Saint Jhn
Saint Jhn is a Guyanese-American rapper, singer, songwriter, and record producer known for his genre-blending sound and the global hit remix of his song "Roses."
-
E.
Gesaffelstein
Gesaffelstein is a French electronic music producer and DJ known for his dark, industrial techno sound and collaborations with major artists like Kanye West.
- 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_69ab4ac92a088190bc74bca14038e3de |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda924b24819090adc4128e86d4bd |
completed | March 7, 2026, 7:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afbbbe621881909e153290394798d6 |
completed | March 10, 2026, 6:35 a.m. |
Created at: March 6, 2026, 9:55 p.m.