Triple
T14839363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1973 Cannes Film Festival (out of competition) |
E348916
|
entity |
| Predicate | festivalEditionYear |
P116032
|
FINISHED |
| Object | 1973 |
—
|
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: 1973 | Statement: [1973 Cannes Film Festival (out of competition), festivalEditionYear, 1973]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: festivalEditionYear Context triple: [1973 Cannes Film Festival (out of competition), festivalEditionYear, 1973]
-
A.
filmFestivalPremiereYear
Indicates the year in which a film first premiered at a film festival.
-
B.
festivalPremiereDate
Indicates the date on which a work (such as a film) first premieres at a festival.
-
C.
finalEditionPublicationYear
Indicates the year in which the final edition of a work was published.
-
D.
anniversaryEditionPublicationYear
Indicates the year in which an anniversary edition of a work was published.
-
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. 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_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. |
| PDg | Predicate description generation | batch_69de90806f3881908fcbfec5bd4ab4d2 |
completed | April 14, 2026, 7:07 p.m. |
Created at: April 10, 2026, 1:52 a.m.