Triple
T22259364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rough Night |
E550176
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Dean Winters |
—
|
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: Dean Winters | Statement: [Rough Night, castMember, Dean Winters]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dean Winters Context triple: [Rough Night, castMember, Dean Winters]
-
A.
Dean Winters
chosen
Dean Winters is an American actor best known for his roles on the HBO prison drama "Oz," the sitcom "30 Rock," and as the recurring "Mayhem" character in Allstate insurance commercials.
-
B.
Luke Goss
Luke Goss is an English actor and former drummer best known for his roles in genre films such as "Blade II" and "Hellboy II: The Golden Army."
-
C.
Michael Lark
Michael Lark is an American comic book artist best known for his gritty, realistic artwork on series such as Gotham Central, Daredevil, and Lazarus.
-
D.
Scott Oake
Scott Oake is a Canadian sportscaster best known for his long-running work as a rinkside reporter and host on national hockey broadcasts.
-
E.
Dylan Walsh
Dylan Walsh is an American actor best known for his role as Dr. Sean McNamara on the television series "Nip/Tuck."
- 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_69e11e42adb8819087714772ea606709 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f138c5b54c8190854690ba599639fa |
completed | April 28, 2026, 10:46 p.m. |
Created at: April 16, 2026, 8:39 p.m.