Triple
T21993522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Book |
E543146
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Jens Meurer |
—
|
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: Jens Meurer | Statement: [Black Book, producer, Jens Meurer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jens Meurer Context triple: [Black Book, producer, Jens Meurer]
-
A.
Jens Meurer
chosen
Jens Meurer is a German film producer and documentary filmmaker known for his work on international arthouse and historical dramas.
-
B.
Christian Lemmerz
Christian Lemmerz is a contemporary German-Danish artist known for his provocative sculptures and installations that often explore themes of mortality, religion, and the human body.
-
C.
Markus Oberhumer
Markus Oberhumer is an Austrian software developer best known as the creator of the UPX executable packer and contributor to various open-source compression and optimization tools.
-
D.
Jochen Theodorou
Jochen Theodorou is a core contributor and long-time maintainer of the Groovy programming language, known for shaping its design and implementation in the JVM ecosystem.
-
E.
Michael Grunst
Michael Grunst is a German local politician who serves as the borough mayor of Berlin’s Lichtenberg district.
- 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_69e11e2c814c8190837d072789000486 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1270f77fc8190aadcc02760d65ac0 |
completed | April 28, 2026, 9:30 p.m. |
Created at: April 16, 2026, 8:17 p.m.