Triple
T5328224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Real |
E123237
|
entity |
| Predicate | performer |
P1363
|
FINISHED |
| Object | Common (rapper) |
E329668
|
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: Common (rapper) | Statement: [Real, performer, Common (rapper)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Common (rapper) Context triple: [Real, performer, Common (rapper)]
-
A.
Common (rapper)
chosen
Common is an American rapper, actor, and writer known for his socially conscious lyrics and influential role in alternative hip hop.
-
B.
Cormega
Cormega is an American rapper from Queensbridge, New York, known for his gritty street narratives and association with the early Nas-led hip-hop collective The Firm.
-
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.
Benny the Butcher
Benny the Butcher is an American rapper from Buffalo, New York, known for his gritty street narratives, sharp lyricism, and work with the Griselda collective.
-
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_69bd46477f9081909d242a327d749466 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8593bd6c8190b2054e548ddf2458 |
completed | March 20, 2026, 5:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf18b00f9c8190b3882f6112546b4a |
completed | March 21, 2026, 10:16 p.m. |
Created at: March 20, 2026, 2 p.m.