Triple
T17224922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wulf Behrens |
E418088
|
entity |
| Predicate | nameInLatinAlphabet |
P22444
|
FINISHED |
| Object | Wulf Behrens |
E418088
|
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: Wulf Behrens | Statement: [Wulf Behrens, nameInLatinAlphabet, Wulf Behrens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wulf Behrens Context triple: [Wulf Behrens, nameInLatinAlphabet, Wulf Behrens]
-
A.
Wulf Behrens
chosen
Wulf Behrens is a person notable enough to be recognized as a bearer of the surname Behrens, though specific public details about his life or achievements are not widely documented.
-
B.
Heinz Behrens
Heinz Behrens was a German actor best known for his roles in East German film and television productions.
-
C.
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.
-
D.
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.
-
E.
Otto Schlüter
Otto Schlüter was a German geographer known for his foundational work in cultural landscape theory and the development of modern landscape geography.
- 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42de0a8dc819093d9c8fb4f80342c |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01675cc70881909cf39b2e229f5d1e |
completed | May 11, 2026, 5:21 a.m. |
Created at: April 10, 2026, 5:38 a.m.