Triple
T22410023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Killer Love |
E553971
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Jim Jonsin |
—
|
NE NERFINISHED |
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: Jim Jonsin | Statement: [Killer Love, producer, Jim Jonsin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jim Jonsin Context triple: [Killer Love, producer, Jim Jonsin]
-
A.
Jim Jonsin
chosen
Jim Jonsin is a Grammy-winning American record producer and songwriter known for crafting hit tracks across hip hop, pop, and R&B for artists such as Beyoncé, Lil Wayne, and T.I.
-
B.
Jeff Loveness
Jeff Loveness is an American screenwriter and producer known for his work on Marvel projects such as Ant-Man and the Wasp: Quantumania and the television series Rick and Morty.
-
C.
Josh Sklair
Josh Sklair is a guitarist and record producer best known for his long-time work with Etta James and contributions to blues and soul recordings.
-
D.
Jim Ryerson
Jim Ryerson is an American Thoroughbred racehorse trainer best known for conditioning top-level runners such as Unbridled's Song.
-
E.
Jay E
Jay E is an American record producer best known for crafting the distinctive sound of early 2000s St. Louis hip hop, including much of Nelly’s breakthrough work.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e4e6ce8819085a1e06d886bf21c |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f158bb9ef88190a773d82ac9ed7a55 |
completed | April 29, 2026, 1:02 a.m. |
Created at: April 16, 2026, 8:46 p.m.