Triple
T34249447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Vitelloni (film score) |
E878698
|
entity |
| Predicate | yearOfRelatedFilmRelease |
P13249
|
FINISHED |
| Object | 1953 |
—
|
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: 1953 | Statement: [I Vitelloni (film score), yearOfRelatedFilmRelease, 1953]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfRelatedFilmRelease Context triple: [I Vitelloni (film score), yearOfRelatedFilmRelease, 1953]
-
A.
yearOfFilmAppearance
Indicates the specific year in which a film appearance by an entity took place.
-
B.
filmReleaseYear
chosen
Indicates the calendar year in which a film was first officially released to the public.
-
C.
associatedWithYearFilm
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.
-
D.
filmReleaseRelation
Indicates the relationship between a film and the details of its release, such as date, location, or distribution context.
-
E.
videoReleaseYear
Indicates the calendar year in which a video was first released or made publicly available.
- 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_69f349b3618481909df955b063f305b2 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fda94697c4819081291967202248be |
completed | May 8, 2026, 9:13 a.m. |
| PD | Predicate disambiguation | batch_69fda5973fcc8190a57daef31fb70a49 |
completed | May 8, 2026, 8:57 a.m. |
Created at: May 1, 2026, 1:56 a.m.