Triple
T2124973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elemental |
E46403
|
entity |
| Predicate | filmFestivalPremiereYear |
P35287
|
FINISHED |
| Object | 2023 |
—
|
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: 2023 | Statement: [Elemental, filmFestivalPremiereYear, 2023]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmFestivalPremiereYear Context triple: [Elemental, filmFestivalPremiereYear, 2023]
-
A.
worldPremiereYear
Indicates the calendar year in which a work, event, or production was first publicly premiered anywhere in the world.
-
B.
yearOfFilmAppearance
Indicates the specific year in which a film appearance by an entity took place.
-
C.
filmReleaseYear
Indicates the calendar year in which a film was first officially released to the public.
-
D.
worldPremiereDate
Indicates the date on which a work (such as a film, play, or musical piece) is first publicly premiered anywhere in the world.
-
E.
filmDebut
Indicates the first film in which an entity (typically a person) appeared or participated, marking their initial entry into film work.
- F. None of above. chosen
Provenance (4 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_69a88a1626548190ae59a5028c3baa8e |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbb57bc6881909f04a407beff33a6 |
completed | March 7, 2026, 5:44 a.m. |
| PD | Predicate disambiguation | batch_69abb7bd86cc8190938ef06c1ed6d969 |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abb895d11881908345032595a679ba |
completed | March 7, 2026, 5:33 a.m. |
Created at: March 4, 2026, 7:44 p.m.