Triple
T30978855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Filmverlag der Autoren |
E789307
|
entity |
| Predicate | servedMovement |
P197705
|
FINISHED |
| Object | New German Cinema |
—
|
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: New German Cinema | Statement: [Filmverlag der Autoren, servedMovement, New German Cinema]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servedMovement Context triple: [Filmverlag der Autoren, servedMovement, New German Cinema]
-
A.
isMovementOf
Indicates that one entity represents the motion, relocation, or change of position of another entity.
-
B.
suppliedMovementsTo
Indicates that one entity provided or delivered movements (such as mechanical or operational components) to another entity.
-
C.
formerMovement
Indicates that an entity previously belonged to or was associated with a particular movement but is no longer part of it.
-
D.
movementIn
Indicates a relationship where an entity moves within, into, or inside a specified area, space, or container.
-
E.
haveMovementFor
Indicates that an entity exhibits or is assigned a specific type or pattern of movement in relation to another entity or context.
- F. None of above. chosen
Provenance (4 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_69f224c4831c8190be53924ec25a150a |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fea2d0a4d08190aa06aeb902a02d5a |
completed | May 9, 2026, 2:58 a.m. |
| PD | Predicate disambiguation | batch_69fea24698348190b9b992a8e7cdbcd0 |
completed | May 9, 2026, 2:56 a.m. |
| PDg | Predicate description generation | batch_69fea2cfcd648190a15e5b90889095b1 |
completed | May 9, 2026, 2:58 a.m. |
Created at: April 29, 2026, 8:55 p.m.