Triple
T18220587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seven Days to Live |
E436291
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Sebastian Niemann |
—
|
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: Sebastian Niemann | Statement: [Seven Days to Live, producer, Sebastian Niemann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sebastian Niemann Context triple: [Seven Days to Live, producer, Sebastian Niemann]
-
A.
Sebastian Niemann
chosen
Sebastian Niemann is a German film director and screenwriter known for his work in genre cinema, including thrillers and horror films.
-
B.
Florian Hoffmeister
Florian Hoffmeister is a German cinematographer known for his atmospheric, meticulously composed visual style in both film and television, including acclaimed work on projects like "Tár."
-
C.
Sebastian Knapp
Sebastian Knapp is an actor best known for his role in the 2013 television miniseries adaptation of the Bible.
-
D.
Nico Diederichs
Nico Diederichs was a South African National Party politician who served as the country’s State President from 1975 to 1978.
-
E.
Sebastian Rudolph
Sebastian Rudolph is a German actor known for his work in film, television, and theater, including roles in historical and dramatic productions.
- 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_69d8b9103a8081908bbb0836fef10efd |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e47b5bfc819085c5935c08361ba9 |
completed | April 19, 2026, 2:19 p.m. |
Created at: April 10, 2026, 10:32 a.m.