Triple
T16554525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Let Them Eat Bingo |
E402158
|
entity |
| Predicate | includesRapper |
P32387
|
FINISHED |
| Object | MC Wildski |
E402161
|
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: MC Wildski | Statement: [Let Them Eat Bingo, includesRapper, MC Wildski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MC Wildski Context triple: [Let Them Eat Bingo, includesRapper, MC Wildski]
-
A.
MC Wildski
chosen
MC Wildski is a British rapper and vocalist best known for his work with Norman Cook’s electronic dance group Beats International in the late 1980s and early 1990s.
-
B.
MC Gusto
MC Gusto is the fictional gangsta rapper persona portrayed by Chris Rock in the 1993 hip-hop comedy film "CB4."
-
C.
Jack Skiba
Jack Skiba was the husband of American singer Patti Page, one of the best-selling female vocalists of the 20th century.
-
D.
Nick Wiz
Nick Wiz is an American hip-hop producer known for his work in the 1990s underground scene, crafting gritty, sample-heavy beats for artists like Cella Dwellas and Rakim.
-
E.
Wanksta
"Wanksta" is a 2002 hip-hop single by 50 Cent that gained widespread popularity after being featured on the soundtrack of the film 8 Mile.
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e34fc887e881909607653df7fe71be |
completed | April 18, 2026, 9:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0067ba4bec81909dfa87bcd2bfa7be |
completed | May 10, 2026, 11:10 a.m. |
Created at: April 10, 2026, 5:15 a.m.