Triple
T22938087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jimmy DeGrasso |
E569640
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jimmy DeGrasso |
—
|
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: Jimmy DeGrasso | Statement: [Jimmy DeGrasso, name, Jimmy DeGrasso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jimmy DeGrasso Context triple: [Jimmy DeGrasso, name, Jimmy DeGrasso]
-
A.
Jimmy DeGrasso
chosen
Jimmy DeGrasso is an American heavy metal drummer best known for his work with major bands such as Megadeth, Suicidal Tendencies, and Alice Cooper.
-
B.
Jason DeMarco
Jason DeMarco is an American television producer and programming executive best known for co-creating and shaping Cartoon Network’s Toonami and Adult Swim blocks.
-
C.
Matt DeRoss
Matt DeRoss is a film producer best known for his work on the critically acclaimed drama "The End of the Tour."
-
D.
Charlie DeMarco
Charlie DeMarco is a fictional character portrayed by Vanessa Ferlito, best known as one of the central figures in the crime drama series "Graceland."
-
E.
Matt Graver
Matt Graver is a seasoned and morally ambiguous CIA operative who orchestrates covert operations against Mexican drug cartels in the film "Sicario."
- 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_69e24590862c8190858f180ad302adab |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18136bf448190afa04f8b55a8bb6e |
completed | April 29, 2026, 3:55 a.m. |
Created at: April 17, 2026, 3:45 p.m.