Triple
T16648239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cary Grant as Roger Thornhill |
E404531
|
entity |
| Predicate | mistakenFor |
P2289
|
FINISHED |
| Object | George Kaplan |
E1226196
|
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: George Kaplan | Statement: [Cary Grant as Roger Thornhill, mistakenFor, George Kaplan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Kaplan Context triple: [Cary Grant as Roger Thornhill, mistakenFor, George Kaplan]
-
A.
George Kaplan
chosen
George Kaplan is a fictional, non-existent government decoy character central to the mistaken-identity plot in Alfred Hitchcock’s film "North by Northwest."
-
B.
Irving Gertz
Irving Gertz was an American film composer known for scoring mid-20th-century Hollywood movies, particularly war and science fiction films.
-
C.
Irving Novick
Irving Novick was an American comic book artist best known for his work on DC Comics titles such as Batman and The Flash, whose war-comic imagery inspired Roy Lichtenstein’s painting "Whaam!".
-
D.
Hank Kaplan
Hank Kaplan is a fictional character from the American medical drama television series "Nurses."
-
E.
Herman Rosenthal
Herman Rosenthal was a Russian-American Jewish scholar, librarian, and editor known for his contributions to Jewish scholarship and reference works in the late 19th and early 20th centuries.
- 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ad794388190b2817d2ec5ff0de0 |
completed | April 18, 2026, 12:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a2f1da48190a1a01dbe25f8f0e9 |
completed | May 10, 2026, 1:37 p.m. |
Created at: April 10, 2026, 5:18 a.m.