Triple
T3277906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cannes Golden Camera Special Mention |
E68800
|
entity |
| Predicate | languageOfFestival |
P15031
|
FINISHED |
| Object | French |
—
|
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: French | Statement: [Cannes Golden Camera Special Mention, languageOfFestival, French]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfFestival Context triple: [Cannes Golden Camera Special Mention, languageOfFestival, French]
-
A.
languageOfEvent
chosen
Indicates the language in which an event is conducted, presented, or communicated.
-
B.
languageOfCeremony
Indicates the language in which a ceremony is conducted or officially performed.
-
C.
languageOfOfficialAnnouncements
Indicates the language used for formal or official public announcements issued by an authority.
-
D.
languageOfCompetition
Indicates the language in which a competition is conducted or officially presented.
-
E.
languageOfExpression
Indicates that a particular language is used as the medium or form in which an expression (such as a text, utterance, or work) is realized.
- 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_69ad859c463481909ca4be267336c290 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb013de048190bcaac732caa6b174 |
completed | March 8, 2026, 5:21 p.m. |
| PD | Predicate disambiguation | batch_69ada420167c81909b6e2702db296d9e |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:10 p.m.