Triple
T14839344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1973 Cannes Film Festival (out of competition) |
E348916
|
entity |
| Predicate | screeningSectionType |
P27372
|
FINISHED |
| Object | out of 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: out of competition | Statement: [1973 Cannes Film Festival (out of competition), screeningSectionType, out of competition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: screeningSectionType Context triple: [1973 Cannes Film Festival (out of competition), screeningSectionType, out of competition]
-
A.
screeningType
Indicates the specific method or category of screening applied in a screening process or evaluation.
-
B.
screenedAtSection
Indicates that something (such as a film, video, or media item) is shown or presented in a specific section or subdivision of a larger event or venue.
-
C.
sectionType
chosen
Indicates the specific kind or category of section that an entity belongs to or represents.
-
D.
screeningBasis
Indicates the underlying reason, criterion, or grounds on which a screening or evaluation is conducted between entities.
-
E.
sectionProvided
Indicates that a specific section or portion of content has been supplied or made available by one entity to another.
- 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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded28e40f08190b309d8ac6404d2fc |
completed | April 14, 2026, 11:49 p.m. |
| PD | Predicate disambiguation | batch_69de8c13418c819088ff9905ace1416a |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:52 a.m.