Triple
T8426115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CL Smooth |
E198996
|
entity |
| Predicate | collaboratedWith |
P435
|
FINISHED |
| Object | Pete Rock |
E132664
|
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: Pete Rock | Statement: [CL Smooth, collaboratedWith, Pete Rock]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pete Rock Context triple: [CL Smooth, collaboratedWith, Pete Rock]
-
A.
Pete Rock
chosen
Pete Rock is an influential American hip hop producer and DJ known for his soulful, jazz-infused beats and classic 1990s collaborations.
-
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.
Rakim
Rakim is a pioneering American rapper widely regarded as one of the greatest and most influential lyricists in hip-hop history.
-
D.
Madlib
Madlib is an influential American hip-hop producer and DJ known for his experimental, sample-heavy style and collaborations with artists like MF DOOM and J Dilla.
-
E.
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.
- 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_69ca8313c99081909a5c6d83b91de5b3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb85a2871081908a4093838fc93b5a |
completed | March 31, 2026, 8:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6ce5bfe481909e05c6a34e10ae16 |
completed | April 2, 2026, 1:19 p.m. |
Created at: March 30, 2026, 6:07 p.m.