Triple
T22094057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My Life as a Dog |
E545978
|
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: [My Life as a Dog, productionCompany, Svensk Filmindustri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Svensk Filmindustri Context triple: [My Life as a Dog, 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.
Cinematograph AB
Cinematograph AB is a Swedish film production company best known for producing Ingmar Bergman’s films, including the acclaimed drama "Cries and Whispers."
-
D.
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.
-
E.
Filmstaden AB
Filmstaden AB is Sweden’s largest cinema chain, operating multiplex movie theaters across the country.
- 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_69e11e36d03c8190a83a1ba802b7231b |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128e766388190aad1039fe0849771 |
completed | April 28, 2026, 9:38 p.m. |
Created at: April 16, 2026, 8:29 p.m.