Triple
T18533425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Rizzoli Sr. |
E452896
|
entity |
| Predicate | relatedSeriesCharacter |
P132034
|
FINISHED |
| Object | Vince Korsak |
—
|
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: Vince Korsak | Statement: [Frank Rizzoli Sr., relatedSeriesCharacter, Vince Korsak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vince Korsak Context triple: [Frank Rizzoli Sr., relatedSeriesCharacter, Vince Korsak]
-
A.
Vince Korsak
chosen
Vince Korsak is a seasoned Boston police detective and loyal member of the homicide team in the TV series "Rizzoli & Isles."
-
B.
Vince Vieluf
Vince Vieluf is an American actor and comedian best known for his roles in films like "Rat Race" and various television comedies.
-
C.
Vince Kehres
Vince Kehres is an American football coach best known for leading the University of Mount Union’s powerhouse Division III program to multiple national championships.
-
D.
Michael Kuzak
Michael Kuzak is a central attorney character on the television legal drama "L.A. Law," known for his idealism and high-profile courtroom battles.
-
E.
David Kajganich
David Kajganich is an American screenwriter and producer known for his work on atmospheric horror and thriller projects such as the TV series "The Terror" and the film "Suspiria."
- 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_69d8d387b5548190aa030dad2cb4947e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e533ffc38881909f8ee132314f58a3 |
completed | April 19, 2026, 7:58 p.m. |
Created at: April 10, 2026, 11:37 a.m.