Triple
T12390863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Knives Out |
E295988
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | K Callan |
E403864
|
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: K Callan | Statement: [Knives Out, castMember, K Callan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: K Callan Context triple: [Knives Out, castMember, K Callan]
-
A.
K Callan
chosen
K Callan is an American actress and author best known for her character roles in film and television, including notable appearances in series like "Lois & Clark: The New Adventures of Superman" and "Carnivàle."
-
B.
Stephen Callaghan
Stephen Callaghan is a notable individual recognized for bearing the surname Callaghan, though specific widely known public achievements or roles are not clearly documented.
-
C.
Nick Callan
Nick Callan is the central protagonist of the film "The Four Seasons," around whose experiences and relationships the story revolves.
-
D.
Colin Callaghan
Colin Callaghan is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Callaghan.
-
E.
George Callahan
George Callahan was a screenwriter active in early 20th-century American cinema, known for his work on films such as the 1935 adaptation of "The Last Days of Pompeii."
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fd0bcc48190bb1a59a3aaa6bfdf |
completed | April 10, 2026, 6:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63479df38819085c5ca791c460d5e |
completed | May 2, 2026, 5:29 p.m. |
Created at: April 8, 2026, 9:54 p.m.