Triple
T12860743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bedtime Story (1964 film) |
E307579
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object | Ralph Levy |
E1128670
|
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: Ralph Levy | Statement: [Bedtime Story (1964 film), director, Ralph Levy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ralph Levy Context triple: [Bedtime Story (1964 film), director, Ralph Levy]
-
A.
Ralph Levy
chosen
Ralph Levy was a film and television director best known for his work on mid-20th-century American comedies, including the movie "Bedtime Story."
-
B.
Robert L. Levy
Robert L. Levy is a film producer best known for his work on popular Hollywood comedies, including the hit movie "Wedding Crashers."
-
C.
Thomas Levy
Thomas Levy is the fictional graduate student and long-distance runner protagonist of William Goldman’s thriller novel "Marathon Man."
-
D.
Ralph Berkowitz
Ralph Berkowitz was an American pianist, accompanist, and arts administrator known for his influential work in classical music performance and education.
-
E.
Ralph Stein
Ralph Stein was an American cartoonist, illustrator, and author best known for his work on the comic strip "Popeye" and for his books on World War II and automobiles.
- 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_69d7bdf5e7cc8190be357278bc5ba3bb |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9708ba74881909b16c1e2ef5115db |
completed | April 10, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b2e59e88190b58fdf9d9643aef9 |
completed | May 9, 2026, 10:23 a.m. |
Created at: April 9, 2026, 5:37 p.m.