Triple
T16153332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All Quiet on the Western Front (2022 film) |
E391968
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | Sven Budelmann |
—
|
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: Sven Budelmann | Statement: [All Quiet on the Western Front (2022 film), editor, Sven Budelmann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sven Budelmann Context triple: [All Quiet on the Western Front (2022 film), editor, Sven Budelmann]
-
A.
Sven Budelmann
chosen
Sven Budelmann is a German film editor known for his work on major productions including the 2022 adaptation of "All Quiet on the Western Front."
-
B.
Andreas Hügerich
Andreas Hügerich is a German local politician who serves as the mayor of the town of Lichtenfels in Bavaria.
-
C.
Jochen Kuttler
Jochen Kuttler is a German local politician who serves as the mayor of the town of Wadern in Saarland.
-
D.
Klaus Badelt
Klaus Badelt is a German film composer best known for his work on major Hollywood scores such as "Pirates of the Caribbean: The Curse of the Black Pearl."
-
E.
Johannes Mühlenkamp
Johannes Mühlenkamp was a German Waffen-SS officer who commanded the 5th SS Panzer Division "Wiking" during World War II.
- 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21d98d08c8190a15d4aee40d47220 |
completed | April 17, 2026, 11:46 a.m. |
Created at: April 10, 2026, 5:01 a.m.