Triple
T12258096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Africa 70 |
E292151
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Expensive Shit |
E972908
|
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: Expensive Shit | Statement: [Africa 70, notableWork, Expensive Shit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Expensive Shit Context triple: [Africa 70, notableWork, Expensive Shit]
-
A.
Expensive Shit
chosen
Expensive Shit is a landmark Afrobeat album by Nigerian musician Fela Kuti, renowned for its politically charged lyrics and hypnotic, groove-driven compositions.
-
B.
Everything Is Expensive
"Everything Is Expensive" is a studio album by Canadian singer-songwriter Esthero, showcasing her blend of trip hop, pop, and alternative influences.
-
C.
Street Shit
"Street Shit" is a hip-hop track by Master of Ceremonies, showcasing gritty lyricism and street-oriented themes.
-
D.
Rich As Fuck
"Rich As Fuck" is a hip hop song by American rapper Lil Wayne featuring 2 Chainz, known for its braggadocious lyrics and trap-influenced production.
-
E.
Hot Shit
"Hot Shit" is a track by rapper Nelly from his debut album "Country Grammar," showcasing his early 2000s Midwestern hip hop style.
- 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91ccadc3c81908fe68adc3fdcc851 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e63da6081908840b1e37fd39b88 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:52 p.m.