Triple
T5986529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beanie Sigel |
E133239
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Memphis Bleek |
E132066
|
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: Memphis Bleek | Statement: [Beanie Sigel, associatedWith, Memphis Bleek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Memphis Bleek Context triple: [Beanie Sigel, associatedWith, Memphis Bleek]
-
A.
Memphis Bleek
chosen
Memphis Bleek is an American rapper from Brooklyn best known as a longtime protégé and collaborator of Jay-Z and a key early artist on Roc-A-Fella Records.
-
B.
Cam'ron
Cam'ron is an American rapper and actor from Harlem, New York, known for his influential role in East Coast hip hop and as a founding member of The Diplomats (Dipset) crew.
-
C.
Busta Rhymes
Busta Rhymes is an American rapper known for his rapid-fire delivery, energetic style, and influential role in 1990s and 2000s hip-hop.
-
D.
Big Boi
Big Boi is an American rapper, songwriter, and producer best known as one half of the influential hip hop duo Outkast.
-
E.
Warren G
Warren G is an American West Coast rapper and producer best known for pioneering the G-funk sound and his hit single "Regulate."
- 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_69c0087010d081908bb8142342d63330 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04dc2243c8190bd3488e7b24af985 |
completed | March 22, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1413ca5f88190b0dab30bde04af4c |
completed | March 23, 2026, 1:33 p.m. |
Created at: March 22, 2026, 4:04 p.m.