Triple
T23513184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unfuck the World |
E572484
|
entity |
| Predicate | lyricist |
P1360
|
FINISHED |
| Object | Chuck D |
—
|
NE NERFINISHED |
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: Chuck D | Statement: [Unfuck the World, lyricist, Chuck D]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chuck D Context triple: [Unfuck the World, lyricist, Chuck D]
-
A.
Chuck D
chosen
Chuck D is an American rapper, activist, and co-founder of the influential hip hop group Public Enemy, known for his politically charged lyrics and powerful delivery.
-
B.
KRS-One
KRS-One is an American rapper and activist known as a pioneering figure in conscious hip-hop and a founding member of Boogie Down Productions.
-
C.
Big Daddy Kane
Big Daddy Kane is an influential American rapper and lyricist from Brooklyn, renowned as a pioneering figure in late 1980s and early 1990s hip-hop for his complex wordplay and smooth delivery.
-
D.
J-Roc
J-Roc is a Grammy-winning American record producer known for his extensive work with artists like Jay-Z, Beyoncé, and Justin Timberlake.
-
E.
J-Roc
J-Roc is a fictional wannabe rapper and recurring comedic character from the Canadian television series "Trailer Park Boys."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245b5e4208190bac8a6509867e394 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1aa80174c819088c9c19fdcf2a133 |
completed | April 29, 2026, 6:51 a.m. |
Created at: April 17, 2026, 6:08 p.m.