Triple
T3982768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Behrens |
E86796
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Hanne-Lore Behrens
Hanne-Lore Behrens is a person notable enough to be cited as a prominent bearer of the surname Behrens.
|
E406946
|
NE FINISHED |
How this triple was built (4 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: Hanne-Lore Behrens | Statement: [Behrens, hasNotableBearer, Hanne-Lore Behrens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hanne-Lore Behrens Context triple: [Behrens, hasNotableBearer, Hanne-Lore Behrens]
-
A.
Katia Behrens
Katia Behrens is a notable individual who bears the surname Behrens, recognized for her significance among people with that name.
-
B.
Gjertrud Schnackenberg
Gjertrud Schnackenberg is an American poet acclaimed for her intellectually rich, formally intricate verse and contributions to contemporary literature.
-
C.
Margarete Boden
Margarete Boden was a German nurse who became known as the wife of Heinrich Himmler, one of the leading figures of Nazi Germany.
-
D.
Ilse Pröhl
Ilse Pröhl was the wife of high-ranking Nazi official Rudolf Hess and a German woman who largely remained out of the public eye despite her husband's prominent role in the Third Reich.
-
E.
Helene Weber
Helene Weber was a German politician and one of the few women involved in drafting both the Weimar and post–World War II German constitutions.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hanne-Lore Behrens Triple: [Behrens, hasNotableBearer, Hanne-Lore Behrens]
Generated description
Hanne-Lore Behrens is a person notable enough to be cited as a prominent bearer of the surname Behrens.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hanne-Lore Behrens Target entity description: Hanne-Lore Behrens is a person notable enough to be cited as a prominent bearer of the surname Behrens.
-
A.
Katia Behrens
Katia Behrens is a notable individual who bears the surname Behrens, recognized for her significance among people with that name.
-
B.
Gjertrud Schnackenberg
Gjertrud Schnackenberg is an American poet acclaimed for her intellectually rich, formally intricate verse and contributions to contemporary literature.
-
C.
Margarete Boden
Margarete Boden was a German nurse who became known as the wife of Heinrich Himmler, one of the leading figures of Nazi Germany.
-
D.
Ilse Pröhl
Ilse Pröhl was the wife of high-ranking Nazi official Rudolf Hess and a German woman who largely remained out of the public eye despite her husband's prominent role in the Third Reich.
-
E.
Helene Weber
Helene Weber was a German politician and one of the few women involved in drafting both the Weimar and post–World War II German constitutions.
- F. None of above. chosen
Provenance (5 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_69aed93fd9d4819085d3b2137d2346cb |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef9dd351c81909605bc2605f541e1 |
completed | March 9, 2026, 4:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54c4a769c819097fb9bfd5890a4f9 |
completed | March 14, 2026, 11:53 a.m. |
| NEDg | Description generation | batch_69b54e582d1c8190b091449fab193ff2 |
completed | March 14, 2026, 12:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b54ec8640081908c312eaf2cc19e2b |
completed | March 14, 2026, 12:04 p.m. |
Created at: March 9, 2026, 3:33 p.m.