Triple
T3983511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murder to Excellence |
E86814
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Symbolyc One |
E240623
|
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: Symbolyc One | Statement: [Murder to Excellence, producer, Symbolyc One]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Symbolyc One Context triple: [Murder to Excellence, producer, Symbolyc One]
-
A.
Symbolyc One
chosen
Symbolyc One is an American hip-hop record producer best known for his work with artists like Kanye West, Jay-Z, and Beyoncé.
-
B.
Symbolics
Symbolics was a pioneering American computer company best known for its Lisp-based workstations and contributions to artificial intelligence hardware and software in the 1980s.
-
C.
Maxima
Maxima is the first daughter of Facebook co-founder Mark Zuckerberg and philanthropist Priscilla Chan.
-
D.
CAS (Computer Algebra System)
CAS (Computer Algebra System) is software that performs symbolic mathematical computations—such as algebraic manipulation, equation solving, and calculus operations—exactly rather than numerically.
-
E.
Wolfram
Wolfram is a masculine given name of Germanic origin, historically borne by several notable figures including military leaders and scholars.
- 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_69aed93fd9d4819085d3b2137d2346cb |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef9dd351c81909605bc2605f541e1 |
completed | March 9, 2026, 4:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b540284d548190821d37b68974a2d2 |
completed | March 14, 2026, 11:02 a.m. |
Created at: March 9, 2026, 3:33 p.m.