Triple
T36301945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swedish cinema |
E893839
|
entity |
| Predicate | hasCoProductionWith |
P183306
|
FINISHED |
| Object | Danish cinema |
—
|
LITERAL 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: Danish cinema | Statement: [Swedish cinema, hasCoProductionWith, Danish cinema]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoProductionWith Context triple: [Swedish cinema, hasCoProductionWith, Danish cinema]
-
A.
coDirectedWith
Indicates that two or more entities jointly directed the same work or project.
-
B.
coProducesFilmWith
chosen
Indicates a collaborative relationship in which two or more entities jointly produce the same film.
-
C.
hasCollaboratedIn
Indicates that two or more entities have worked together on a shared project, task, or activity.
-
D.
hasCollaborativeCareerWith
Indicates that two entities have engaged in a shared or joint professional activity or career over a period of time.
-
E.
coProduced
Indicates that two or more entities jointly produced or created a work, project, or product together.
- F. None of above.
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_69f76e4c1b248190b10667d0213537fe |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0a54cc8190868c1bfa1590d1a6 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:09 p.m.