Triple
T11052323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jens Blauert |
E261286
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jens Blauert |
E261286
|
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: Jens Blauert | Statement: [Jens Blauert, name, Jens Blauert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jens Blauert Context triple: [Jens Blauert, name, Jens Blauert]
-
A.
Jens Blauert
chosen
Jens Blauert is a German acoustician renowned for his pioneering work in spatial hearing and psychoacoustics.
-
B.
Claus-Johannes Voss
Claus-Johannes Voss was a German entrepreneur best known as one of the key figures behind the creation of the luxury writing instrument brand Montblanc.
-
C.
Carsten Kurpanek
Carsten Kurpanek is a film editor known for his work on feature films including the action movie "Rambo: Last Blood."
-
D.
Claus Wehlisch
Claus Wehlisch is a film editor known for his work on feature films, including the romantic comedy-drama "Love, Rosie."
-
E.
Karsten Danzmann
Karsten Danzmann is a German physicist renowned for his leading contributions to gravitational wave research and space-based interferometry.
- 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7986c0df88190b29d71db5538450a |
completed | April 9, 2026, 12:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f62fa15081909e7c71d8feda7391 |
completed | May 2, 2026, 1:03 p.m. |
Created at: April 8, 2026, 9:26 p.m.