Triple
T18611569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 30th Academy Awards |
E454905
|
entity |
| Predicate | honoredFilmsFromYear |
P56244
|
FINISHED |
| Object | 1957 |
—
|
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: 1957 | Statement: [30th Academy Awards, honoredFilmsFromYear, 1957]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: honoredFilmsFromYear Context triple: [30th Academy Awards, honoredFilmsFromYear, 1957]
-
A.
awardedForYearOfRelease
Indicates that an award is given in recognition of a work based on the year in which that work was released.
-
B.
honoredFilmPeriodStart
Indicates the date or time period when a film’s honored or award-recognized status begins.
-
C.
firstEditionHonoredYearOfFilms
Indicates the year in which the first edition of an event, award, or honor specifically recognizing films took place.
-
D.
yearOfFilmAppearance
Indicates the specific year in which a film appearance by an entity took place.
-
E.
associatedWithYearFilm
chosen
Indicates a relationship where something (such as an event, award, or record) is linked to or pertains to a specific film released or identified in a given 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_69d8d38bbe7c8190bdec3138e7d413c9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54d01ebd08190b6e646e3a749d7f5 |
completed | April 19, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69e478cf5e888190a0b1074b0c6525df |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:45 a.m.