Triple
T21875756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Miroir à deux faces |
E540140
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Ivan Desny |
—
|
NE NERFINISHED |
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: Ivan Desny | Statement: [Le Miroir à deux faces, castMember, Ivan Desny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ivan Desny Context triple: [Le Miroir à deux faces, castMember, Ivan Desny]
-
A.
Ivan Desny
chosen
Ivan Desny was a Russian-born French actor known for his prolific film and television career in European cinema from the 1950s onward.
-
B.
Ivan Mayski
Ivan Mayski was a Soviet diplomat best known for serving as the USSR’s ambassador to the United Kingdom during the Second World War.
-
C.
Serge Sabarsky
Serge Sabarsky was an Austrian-born art dealer, curator, and collector renowned for his expertise in German and Austrian Expressionist art.
-
D.
Stiliyan Petrov
Stiliyan Petrov is a retired Bulgarian footballer best known as a dynamic central midfielder for Celtic and Aston Villa, as well as a long-time captain of the Bulgarian national team.
-
E.
Ivan Simanov
Ivan Simanov is a character from the action-comedy film "Red 2," involved in the high-stakes espionage and intrigue that drive the movie’s plot.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c479a98081908ce333853fdd4348 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0f33957f481908789b054a4fd1b77 |
completed | April 28, 2026, 5:49 p.m. |
Created at: April 16, 2026, 7:02 p.m.