Triple
T7369915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victor Jory |
E169970
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Victor Jory |
E169970
|
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: Victor Jory | Statement: [Victor Jory, name, Victor Jory]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Victor Jory Context triple: [Victor Jory, name, Victor Jory]
-
A.
Victor Jory
chosen
Victor Jory was a Canadian-born American character actor known for his distinctive deep voice and frequent portrayals of villains in film, television, and theater during the mid-20th century.
-
B.
Lionel Atwill
Lionel Atwill was an English-American character actor best known for his sinister roles in 1930s and 1940s horror and mystery films.
-
C.
Laird Cregar
Laird Cregar was an American character actor of the early 1940s, known for his imposing presence and memorable performances in film noir and period dramas.
-
D.
Ricardo Cortez
Ricardo Cortez was an American actor of the silent and early sound film era, best known for his leading-man roles in crime dramas and early film noir.
-
E.
Neville Brand
Neville Brand was an American character actor known for his tough-guy roles in film and television, often portraying soldiers, criminals, and other rugged figures.
- 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_69c68a5ade988190885b7175f63b7534 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1810668819094aec4b237d08068 |
completed | March 27, 2026, 9:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8276ec3b88190b720354787f7a735 |
completed | March 28, 2026, 7:09 p.m. |
Created at: March 27, 2026, 3:07 p.m.