Triple
T20967338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Source |
E516400
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | Svensk Filmindustri |
—
|
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: Svensk Filmindustri | Statement: [La Source, productionCompany, Svensk Filmindustri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Svensk Filmindustri Context triple: [La Source, productionCompany, Svensk Filmindustri]
-
A.
Svensk Filmindustri
chosen
Svensk Filmindustri is a major Swedish film production and distribution company, historically one of the country’s most influential studios.
-
B.
Swedish Film Institute
The Swedish Film Institute is a national organization that supports, funds, and promotes Swedish cinema both domestically and internationally.
-
C.
Nordisk Film
Nordisk Film is a major Danish entertainment company and one of the world’s oldest film studios, known for producing and distributing films across the Nordic region.
-
D.
Filmstaden AB
Filmstaden AB is Sweden’s largest cinema chain, operating multiplex movie theaters across the country.
-
E.
Film i Väst AB
Film i Väst AB is a Swedish regional film fund and production company based in Trollhättan, known for co-producing numerous internationally acclaimed films and TV series.
- 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_69e0b4fde6c48190af1398e7e734629e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fb9d6b548190af7214ad2468cfbf |
completed | April 21, 2026, 4:22 a.m. |
Created at: April 16, 2026, 1:37 p.m.