Triple
T33968488
| 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 | subjectOfWinningFilm |
P22751
|
FINISHED |
| Object | World War I |
—
|
NE NERFINISHED |
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: World War I | Statement: [Academy Award for Best International Feature Film (as director of All Quiet on the Western Front), subjectOfWinningFilm, World War I]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectOfWinningFilm Context triple: [Academy Award for Best International Feature Film (as director of All Quiet on the Western Front), subjectOfWinningFilm, World War I]
-
A.
associatedAwardWinningFilm
Indicates that there is a relationship between an entity and a film with which it is connected, where that film has received an award.
-
B.
subjectOfFilm
chosen
Indicates that a person, character, or topic is the main focus or central topic depicted in a particular film.
-
C.
notableWinningFilm
Indicates that a film has achieved notable recognition by winning a significant award or competition.
-
D.
filmWonAcademyAwardFor
Indicates that a film received an Academy Award (Oscar) in a specified category or for a particular achievement.
-
E.
bestPictureWinner
Indicates that the subject is the film that won the Best Picture award in a given context or year.
- 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_69fd49f6dbac81909744373a357b7982 |
completed | May 8, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69fd48ed68f481908374183c66a6b055 |
completed | May 8, 2026, 2:22 a.m. |
Created at: May 1, 2026, 1:50 a.m.