Triple
T18314346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rolf Behrens |
E438715
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Rolf Behrens |
—
|
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: Rolf Behrens | Statement: [Rolf Behrens, name, Rolf Behrens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rolf Behrens Context triple: [Rolf Behrens, name, Rolf Behrens]
-
A.
Rolf Behrens
chosen
Rolf Behrens is a person notable enough to be recognized as a prominent bearer of the surname Behrens.
-
B.
Walter-Ulrich Behrens
Walter-Ulrich Behrens was a German statistician known for his contributions to the development of small-sample statistical methods, including work related to what is now called the Behrens–Fisher problem.
-
C.
Hermann Behrens
Hermann Behrens is a notable individual who shares the surname Behrens, recognized enough to be specifically cited as a bearer of that name.
-
D.
Heinz Behrens
Heinz Behrens was a German actor best known for his roles in East German film and television productions.
-
E.
Hannes Meyer
Hannes Meyer was a Swiss architect and urban planner who served as the second director of the Bauhaus, known for his functionalist, socially oriented approach to design and architecture.
- 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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5021b7e2c81908cd3b6684ab899f6 |
completed | April 19, 2026, 4:26 p.m. |
Created at: April 10, 2026, 10:36 a.m.