Triple
T12761963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flix SE |
E305016
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object | Jochen Engert |
—
|
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: Jochen Engert | Statement: [Flix SE, foundedBy, Jochen Engert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jochen Engert Context triple: [Flix SE, foundedBy, Jochen Engert]
-
A.
Jochen Engert
chosen
Jochen Engert is a German entrepreneur best known as a co-founder of the long-distance bus company FlixBus.
-
B.
Ingo Schulze
Ingo Schulze is a German writer known for his critically acclaimed novels and short stories that explore life in East Germany and the post-reunification era.
-
C.
Jürgen Schmidt
Jürgen Schmidt is a personal name shared by multiple individuals, including professionals and public figures in German-speaking countries.
-
D.
Jürgen Büscher
Jürgen Büscher is a screenwriter best known for co-writing the 1993 German war film "Stalingrad."
-
E.
Thorsten Koehne
Thorsten Koehne is a musician best known as a member of the German hard rock band Hardline.
- 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_69d7bdf1fcd081909ffb0e0d6fa3a07d |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d8e44188190840cd23d380bf23d |
completed | April 10, 2026, 9:37 p.m. |
Created at: April 9, 2026, 5:28 p.m.