Triple
T10607345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adam Sandler as Danny Meyerowitz |
E275908
|
entity |
| Predicate | workSectionAtCannes |
P44901
|
FINISHED |
| Object | Competition |
—
|
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: Competition | Statement: [Adam Sandler as Danny Meyerowitz, workSectionAtCannes, Competition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workSectionAtCannes Context triple: [Adam Sandler as Danny Meyerowitz, workSectionAtCannes, Competition]
-
A.
associatedFilmFestivalSection
chosen
Indicates the specific film festival section or program in which a work is included or with which it is formally linked.
-
B.
cannesYearInCompetition
Indicates that a film was selected to compete in the main competition at the Cannes Film Festival in a specific year.
-
C.
premiereSection
Indicates the specific program, segment, or section in which a work or performance is first publicly premiered.
-
D.
appearsInSectionOfWork
Indicates that one entity is contained within or shows up in a specific section or part of a larger work.
-
E.
filmFestivalAwardedAt
Indicates that a particular film festival award was given or presented at a specific film festival event or edition.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df4c38c881908f69bb757b8e03f5 |
completed | April 8, 2026, 11:05 p.m. |
| PD | Predicate disambiguation | batch_69d6dd72c1288190adbb5e79e94c044a |
completed | April 8, 2026, 10:57 p.m. |
Created at: April 8, 2026, 7:32 p.m.