Triple
T14366037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rose-Marie |
E356235
|
entity |
| Predicate | filmAdaptationGenre |
P113747
|
FINISHED |
| Object | musical film |
—
|
LITERAL 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: musical film | Statement: [Rose-Marie, filmAdaptationGenre, musical film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmAdaptationGenre Context triple: [Rose-Marie, filmAdaptationGenre, musical film]
-
A.
inFilmAdaptation
Indicates that one work or element appears within, or is incorporated into, a film adaptation of another work.
-
B.
filmAdaptationFormat
Indicates the specific medium or format (e.g., feature film, TV movie, short film) in which a work has been adapted into a film.
-
C.
filmAdaptationStudio
Indicates that a particular studio is responsible for producing or creating the film adaptation of a work.
-
D.
notableGenreAdaptation
Indicates that a work is a significant adaptation of another work into a different genre.
-
E.
filmAdaptationOfLife
Indicates that a film is an adaptation based on the life or real-life experiences of a person or group.
- F. None of above. chosen
Provenance (4 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8fad48748190a0f34ca4d02f9a3c |
completed | April 14, 2026, 7:04 p.m. |
| PD | Predicate disambiguation | batch_69de2a9cb3e081909f6b33fdd939bb9e |
completed | April 14, 2026, 11:53 a.m. |
| PDg | Predicate description generation | batch_69de2e07d1f88190bdcd20967e484718 |
completed | April 14, 2026, 12:07 p.m. |
Created at: April 10, 2026, 1:15 a.m.