Triple
T15951133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | K'naan |
E386819
|
entity |
| Predicate | collaboratedWith |
P435
|
FINISHED |
| Object | Nas |
E68657
|
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: Nas | Statement: [K'naan, collaboratedWith, Nas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nas Context triple: [K'naan, collaboratedWith, Nas]
-
A.
Nas
chosen
Nas is an influential American rapper and songwriter renowned for his complex lyricism and classic debut album "Illmatic," widely regarded as one of the greatest hip-hop records of all time.
-
B.
Nas
Nas is a village on the Greek island of Ikaria, known for its scenic coastline, nearby archaeological remains, and tranquil, traditional atmosphere.
-
C.
Jay-Z
Jay-Z is a pioneering American rapper, producer, and business mogul known for his influential role in hip-hop and ventures spanning music, fashion, and sports management.
-
D.
Raekwon
Raekwon is an American rapper best known as a core member of the influential hip hop group Wu-Tang Clan and for his acclaimed solo album "Only Built 4 Cuban Linx...."
-
E.
LL Cool J
LL Cool J is an American rapper and actor who emerged as one of hip-hop’s early stars and later became widely known for his roles in film and television.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156d59f5081909f6a81d578c4e2e8 |
completed | April 16, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe78a76481909622d7a2443cba4d |
completed | May 9, 2026, 11:08 p.m. |
Created at: April 10, 2026, 4:53 a.m.