Triple
T22366678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elser – Er hätte die Welt verändert |
E552922
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Oliver Schündler |
—
|
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: Oliver Schündler | Statement: [Elser – Er hätte die Welt verändert, producer, Oliver Schündler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oliver Schündler Context triple: [Elser – Er hätte die Welt verändert, producer, Oliver Schündler]
-
A.
Oliver Schündler
chosen
Oliver Schündler is a German film producer known for his work on historical and dramatic feature films, including the World War II thriller "13 Minutes."
-
B.
Oliver Günther
Oliver Günther is a German computer scientist and academic who serves as the president (rector) of the University of Potsdam.
-
C.
Oliver Korittke
Oliver Korittke is a German actor known for his roles in film and television, particularly in comedies and crime series.
-
D.
Oliver Kassman
Oliver Kassman is a film producer known for his work on the psychological horror film "Love Lies Bleeding."
-
E.
Oliver Kellhammer
Oliver Kellhammer is a Canadian-born ecological artist, writer, and educator known for his socially engaged land-based art and environmental restoration projects.
- 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_69e11e4affcc8190ba7c27d29062558d |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1580074dc819091305ac7017000d3 |
completed | April 29, 2026, 12:59 a.m. |
Created at: April 16, 2026, 8:44 p.m.