Triple
T19547448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Killing (1956 film) |
E489110
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Ted de Corsia |
—
|
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: Ted de Corsia | Statement: [The Killing (1956 film), castMember, Ted de Corsia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ted de Corsia Context triple: [The Killing (1956 film), castMember, Ted de Corsia]
-
A.
Ted de Corsia
chosen
Ted de Corsia was an American character actor known for his tough-guy roles in classic film noir and crime movies of the mid-20th century.
-
B.
Joe Corallo
Joe Corallo is a comic book writer and editor known for his work on independent and genre titles in the modern comics scene.
-
C.
Greg Corrado
Greg Corrado is an American computer scientist and researcher known for his pioneering work in artificial intelligence and deep learning, including co-founding Google Brain.
-
D.
George Corsillo
George Corsillo is a graphic designer and illustrator known for his distinctive book cover artwork, including the cover for Elmore Leonard’s novel "Maximum Bob."
-
E.
Christian Corrao
Christian Corrao is a voice actor known for his role in the animated film "PAW Patrol: The Mighty Movie."
- 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63d2d8a6081908e9bb3a6f5d85896 |
completed | April 20, 2026, 2:50 p.m. |
Created at: April 10, 2026, 1:41 p.m.