Triple
T21731311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Film i Väst AB |
E536410
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Trollywood film fund |
—
|
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: Trollywood film fund | Statement: [Film i Väst AB, alsoKnownAs, Trollywood film fund]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trollywood film fund Context triple: [Film i Väst AB, alsoKnownAs, Trollywood film fund]
-
A.
Trollywood
chosen
Trollywood is the film industry nickname for Trollhättan, Sweden, known for its prominent movie studios and frequent use as a filming location.
-
B.
Tulu cinema
Tulu cinema is the regional film industry that produces movies in the Tulu language, primarily serving audiences in the coastal Karnataka region of India.
-
C.
Nala Films
Nala Films is an independent film production company known for financing and producing critically acclaimed feature films.
-
D.
New Town Films
New Town Films is a film production company best known for producing the Australian drama "The Sum of Us."
-
E.
Tapioca Films
Tapioca Films is a French film production company known for working on visually inventive and offbeat projects such as Jean-Pierre Jeunet’s "Micmacs à tire-larigot."
- 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_69e0c46d3284819099a4f9d5a704eb95 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69effd0713c48190a38b3963cb3cbaf0 |
completed | April 28, 2026, 12:19 a.m. |
Created at: April 16, 2026, 6:48 p.m.