Triple
T14356048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Film University Babelsberg KONRAD WOLF |
E355972
|
entity |
| Predicate | industryCollaboration |
P51954
|
FINISHED |
| Object | German film industry |
—
|
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: German film industry | Statement: [Film University Babelsberg KONRAD WOLF, industryCollaboration, German film industry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: industryCollaboration Context triple: [Film University Babelsberg KONRAD WOLF, industryCollaboration, German film industry]
-
A.
industryConsortium
Indicates a collaborative association where multiple organizations formally join together within an industry to pursue shared goals, standards, or initiatives.
-
B.
industryConnection
chosen
Indicates a professional or business relationship linking entities within the same or related industries, such as partnerships, collaborations, or shared sector involvement.
-
C.
industryContext
Indicates the industry or sector within which an entity, activity, or relationship is situated or most relevant.
-
D.
industryActivities
Indicates the types of economic or business activities in which an industry or sector is engaged.
-
E.
industryStart
Indicates the point in time or event at which an industry, industrial activity, or industrial era begins.
- 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8f519bf881908615f4d47e0f77aa |
completed | April 14, 2026, 7:02 p.m. |
| PD | Predicate disambiguation | batch_69de2a9958e881909d03ac03f135163e |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:15 a.m.