Triple
T12894046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sebastian Koch |
E308445
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Sebastian Koch |
E308445
|
NE FINISHED |
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 Koch | Statement: [Sebastian Koch, name, Sebastian Koch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sebastian Koch Context triple: [Sebastian Koch, name, Sebastian Koch]
-
A.
Sebastian Koch
chosen
Sebastian Koch is a German actor known for his acclaimed performances in films such as "The Lives of Others" and various international productions.
-
B.
Hanno Brühl
Hanno Brühl was a German television director and the father of actor Daniel Brühl.
-
C.
Dieter Fox
Dieter Fox is a prominent computer scientist and roboticist known for his contributions to probabilistic robotics, perception, and machine learning in autonomous systems.
-
D.
Daniel Brühl
Daniel Brühl is a German-Spanish actor known for his acclaimed performances in films such as "Good Bye, Lenin!", "Inglourious Basterds," and "Rush," as well as for his role as Helmut Zemo in the Marvel Cinematic Universe.
-
E.
Dominik Moll
Dominik Moll is a French film director and screenwriter known for his darkly comic and psychological thrillers such as "Harry, He's Here to Help" and "Only the Animals."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d7bdf7c1f0819098102569a8d8cbf5 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971484aa08190a8adfafabe600903 |
completed | April 10, 2026, 9:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a55daf788190be72af98b288bd70 |
completed | May 3, 2026, 1:31 a.m. |
Created at: April 9, 2026, 5:40 p.m.