Triple
T16880793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | YSIV |
E421409
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Kevin Randolph |
E512825
|
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: Kevin Randolph | Statement: [YSIV, producer, Kevin Randolph]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kevin Randolph Context triple: [YSIV, producer, Kevin Randolph]
-
A.
Kevin Randolph
chosen
Kevin Randolph is a musician best known as a member of the 1980s-influenced hip-hop group Cocaine 80s.
-
B.
Marc Randolph
Marc Randolph is an American entrepreneur and co-founder of Netflix who played a key role in pioneering the subscription-based streaming and DVD-by-mail business model.
-
C.
Kevin Mullen
Kevin Mullen is a personal name shared by multiple individuals, including professionals in fields such as sports, academia, and public service.
-
D.
Kevin Eubanks
Kevin Eubanks is an American jazz and fusion guitarist best known as the longtime bandleader for The Tonight Show with Jay Leno.
-
E.
Michael Tucker
Michael Tucker is an American actor best known for his work in film, television, and theater, including roles in projects like the Woody Allen film "Radio Days" and the TV series "L.A. Law."
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3b7fa96588190837777c401880cb3 |
completed | April 18, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dbfd6898819083871544c119557c |
completed | May 10, 2026, 7:26 p.m. |
Created at: April 10, 2026, 5:29 a.m.