Triple
T26393229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elle (2016 film) |
E663473
|
entity |
| Predicate | sectionAtCannes |
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: [Elle (2016 film), sectionAtCannes, Competition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sectionAtCannes Context triple: [Elle (2016 film), sectionAtCannes, Competition]
-
A.
cannesFilmFestivalAward
Indicates that an entity has received an award presented at the Cannes Film Festival.
-
B.
associatedFilmFestivalSection
chosen
Indicates the specific film festival section or program in which a work is included or with which it is formally linked.
-
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.
distanceFromCannes
Indicates the spatial distance separating a given entity from the location of Cannes.
- 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_69ee883823988190b418b111be28a44a |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f610c0ed7c81908058c49aa53e03a6 |
completed | May 2, 2026, 2:57 p.m. |
| PD | Predicate disambiguation | batch_69f5f800fa9c8190aab0962669fde8ac |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 11:27 p.m.