Triple
T33968487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best International Feature Film (as director of All Quiet on the Western Front) |
E870923
|
entity |
| Predicate | genreOfWinningFilm |
P179848
|
FINISHED |
| Object | war 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: war film | Statement: [Academy Award for Best International Feature Film (as director of All Quiet on the Western Front), genreOfWinningFilm, war film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genreOfWinningFilm Context triple: [Academy Award for Best International Feature Film (as director of All Quiet on the Western Front), genreOfWinningFilm, war film]
-
A.
genreOfAwardedFilm
chosen
Indicates the genre category associated with a film that has received an award.
-
B.
sourceFilmGenre
Indicates that a film is classified as belonging to a particular genre.
-
C.
keyGenreFilm
Indicates that a particular genre is the primary or defining genre associated with a given film.
-
D.
genreOfAwards
Indicates the type or category of awards associated with a given work, event, or entity.
-
E.
bestMotionPictureMusicalOrComedy
Indicates that the subject is recognized as the best motion picture in the musical or comedy category, typically as an award or ranking.
- F. None of above.
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_69f3499ce8e88190b66e1d49ad8c7037 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7626667f48190ad90867eb67ec582 |
completed | May 3, 2026, 2:57 p.m. |
| PD | Predicate disambiguation | batch_69f76175d6608190b60b268e20f49ed9 |
completed | May 3, 2026, 2:53 p.m. |
Created at: May 1, 2026, 1:50 a.m.