Triple
T34348621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best Picture (as producer of Saving Private Ryan) |
E881504
|
entity |
| Predicate | nomineeFilmReleaseYear |
P167102
|
FINISHED |
| Object | 1998 |
—
|
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: 1998 | Statement: [Academy Award for Best Picture (as producer of Saving Private Ryan), nomineeFilmReleaseYear, 1998]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nomineeFilmReleaseYear Context triple: [Academy Award for Best Picture (as producer of Saving Private Ryan), nomineeFilmReleaseYear, 1998]
-
A.
releaseYearOfNominatedWork
chosen
Indicates the calendar year in which the work that received the nomination was originally released.
-
B.
awardNominationYear
Indicates the year in which an entity received a nomination for an award.
-
C.
awardedForYearOfRelease
Indicates that an award is given in recognition of a work based on the year in which that work was released.
-
D.
yearOfAwardCeremony
Indicates the specific year in which an award ceremony took place.
-
E.
yearOfFilmAppearance
Indicates the specific year in which a film appearance by an entity took place.
- 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_69f349bc55e881908c8e338ef76b0043 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71c35327c8190884f1bfe12bd2cd7 |
completed | May 3, 2026, 9:58 a.m. |
| PD | Predicate disambiguation | batch_69f71822d0e88190ac9731c7ae5a4def |
completed | May 3, 2026, 9:40 a.m. |
Created at: May 1, 2026, 1:58 a.m.