Triple
T32812483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1951 Academy Awards |
E839192
|
entity |
| Predicate | honorsFilmsOfYear |
P15480
|
FINISHED |
| Object | 1950 |
—
|
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: 1950 | Statement: [1951 Academy Awards, honorsFilmsOfYear, 1950]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: honorsFilmsOfYear Context triple: [1951 Academy Awards, honorsFilmsOfYear, 1950]
-
A.
awardedForYearOfRelease
chosen
Indicates that an award is given in recognition of a work based on the year in which that work was released.
-
B.
oscarBestPictureYear
Indicates the year in which a given film received the Academy Award for Best Picture.
-
C.
festivalHonors
Indicates that a particular festival is held in recognition, celebration, or commemoration of a specific person, group, event, or concept.
-
D.
yearOfFilmAppearance
Indicates the specific year in which a film appearance by an entity took place.
-
E.
settingOfHonouredFilm
Indicates that a particular place or environment serves as the primary setting or backdrop for a film that has received honors or awards.
- 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_69f3493d35208190b4351b4e85f2fa16 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f727afd5d88190ad48735cd1b32787 |
completed | May 3, 2026, 10:47 a.m. |
| PD | Predicate disambiguation | batch_69f72737c42c8190a3f781a5e98868ff |
completed | May 3, 2026, 10:45 a.m. |
Created at: May 1, 2026, 1:15 a.m.