Triple
T10364487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zentropa |
E244217
|
entity |
| Predicate | hasDivision |
P35
|
FINISHED |
| Object | Zentropa International France |
E296164
|
NE 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: Zentropa International France | Statement: [Zentropa, hasDivision, Zentropa International France]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zentropa International France Context triple: [Zentropa, hasDivision, Zentropa International France]
-
A.
Zentropa Entertainments
chosen
Zentropa Entertainments is a Danish film production company co-founded by director Lars von Trier, known for producing innovative and often provocative European cinema.
-
B.
EuropaCorp
EuropaCorp is a French film production and distribution company founded by filmmaker Luc Besson, known for producing action and thriller movies such as the "Taxi" and "Taken" franchises.
-
C.
Intertainment AG
Intertainment AG is a German media and film licensing company known for financing and distributing Hollywood movies in international markets.
-
D.
Lyria SAS
Lyria SAS is a Franco-Swiss rail company that operates high-speed TGV Lyria train services connecting France and Switzerland.
-
E.
Zenta
Zenta is a historic town in northern Serbia, best known as the site of a decisive 1697 battle between the Habsburg Monarchy and the Ottoman Empire.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e964a53c8190b748e80850e96656 |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d750c2d2748190b871b928d5a094f8 |
completed | April 9, 2026, 7:09 a.m. |
Created at: April 6, 2026, noon