Triple
T26625825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Als twee druppels water |
E668341
|
entity |
| Predicate | CannesFilmFestivalSection |
P122371
|
FINISHED |
| Object | Official Selection |
—
|
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: Official Selection | Statement: [Als twee druppels water, CannesFilmFestivalSection, Official Selection]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: CannesFilmFestivalSection Context triple: [Als twee druppels water, CannesFilmFestivalSection, Official Selection]
-
A.
associatedFilmFestivalSection
Indicates the specific film festival section or program in which a work is included or with which it is formally linked.
-
B.
cannesFilmFestivalAward
Indicates that an entity has received an award presented at the Cannes Film Festival.
-
C.
cannesYearInCompetition
Indicates that a film was selected to compete in the main competition at the Cannes Film Festival in a specific year.
-
D.
filmFestivalAwardedAt
Indicates that a particular film festival award was given or presented at a specific film festival event or edition.
-
E.
filmFestivalCategory
chosen
Indicates the specific category or section of a film festival in which a film is entered, screened, or competes.
- 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_69ee9cff507c819092b95bf7219a702e |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f615e9643881908e03a3eb018d13d2 |
completed | May 2, 2026, 3:19 p.m. |
| PD | Predicate disambiguation | batch_69f60b8bb0d08190ab5a9a2a8847c6f4 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 2:23 a.m.