Triple
T7950132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marley Marl |
E184591
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | RZA |
E10868
|
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: RZA | Statement: [Marley Marl, influenced, RZA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RZA Context triple: [Marley Marl, influenced, RZA]
-
A.
RZA
chosen
RZA is an American rapper, producer, and founding member of the Wu-Tang Clan, renowned for his innovative, gritty production style that has deeply shaped the sound of modern hip-hop.
-
B.
GZA
GZA is an American rapper, lyricist, and founding member of the influential hip hop group Wu-Tang Clan, renowned for his complex wordplay and concept-driven albums like "Liquid Swords."
-
C.
Rahzel
Rahzel is an American beatboxer and vocal percussionist renowned for his innovative ability to simultaneously sing and beatbox, and for his prominent work with the hip hop group The Roots.
-
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 (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_69ca8292cba881908a64427b938dac47 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b2d09a4819097aa49e29a5426ec |
completed | March 31, 2026, 3:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe04872ec819090819899ed8dfc80 |
completed | March 31, 2026, 2:55 p.m. |
Created at: March 30, 2026, 5:10 p.m.