Triple
T21391418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All Quiet on the Western Front (2022 film) |
E527658
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Moritz Klaus |
—
|
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: Moritz Klaus | Statement: [All Quiet on the Western Front (2022 film), castMember, Moritz Klaus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moritz Klaus Context triple: [All Quiet on the Western Front (2022 film), castMember, Moritz Klaus]
-
A.
Moritz Klaus
chosen
Moritz Klaus is a German actor best known internationally for his role in the 2022 anti-war film "All Quiet on the Western Front."
-
B.
Moritz Kerz
Moritz Kerz is a mathematician known for his work in arithmetic geometry and algebraic K-theory.
-
C.
Moritz Suter
Moritz Suter is a Swiss entrepreneur and aviation executive best known for building Crossair into a major European regional airline.
-
D.
Moritz von Fries
Moritz von Fries was an influential Austrian banker and aristocratic patron of the arts in early 19th-century Vienna, known for supporting leading composers of his time.
-
E.
Moritz Leuenberger
Moritz Leuenberger is a Swiss politician and former member of the Federal Council who served as head of the Federal Department of Environment, Transport, Energy and Communications.
- 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_69e0b51ff3748190935c0a513c62a12b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b113690c81909c0a378fddba5d3a |
completed | April 22, 2026, 11:29 a.m. |
Created at: April 16, 2026, 5:13 p.m.