Triple
T16745745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hanne-Lore Behrens |
E406946
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object |
Behrens
Behrens is a German-language surname borne by various notable individuals in fields such as design, music, and politics.
|
E86796
|
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: Behrens | Statement: [Hanne-Lore Behrens, hasFamilyName, Behrens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Behrens Context triple: [Hanne-Lore Behrens, hasFamilyName, Behrens]
-
A.
Behrend
Behrend is a German surname borne by various notable individuals across fields such as mathematics, politics, and the arts.
-
B.
Bernsen
Bernsen is a surname most notably associated with American actor Corbin Bernsen, known for his role on the television series "L.A. Law."
-
C.
Braunshardt
Braunshardt is a district of the town of Weiterstadt in the state of Hesse, Germany.
-
D.
Behrent
Behrent is a surname variant of Behrendt, typically of German origin.
-
E.
Balkhausen
Balkhausen is a district within the town of Kerpen in North Rhine-Westphalia, Germany.
- 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: Behrens Triple: [Hanne-Lore Behrens, hasFamilyName, Behrens]
Generated description
Behrens is a German-language surname borne by various notable individuals in fields such as design, music, and politics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Behrens Target entity description: Behrens is a German-language surname borne by various notable individuals in fields such as design, music, and politics.
-
A.
Behrens
chosen
Behrens is a German surname most notably associated with influential architect and designer Peter Behrens.
-
B.
Behrend
Behrend is a German surname borne by various notable individuals across fields such as mathematics, politics, and the arts.
-
C.
Bernsen
Bernsen is a surname most notably associated with American actor Corbin Bernsen, known for his role on the television series "L.A. Law."
-
D.
Braunshardt
Braunshardt is a district of the town of Weiterstadt in the state of Hesse, Germany.
-
E.
Behrent
Behrent is a surname variant of Behrendt, typically of German origin.
- F. None of above.
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_69d8838ffb088190a0b11149929006bf |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3aa223aa88190a3c1805ece7317e2 |
completed | April 18, 2026, 3:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a52033748190ae207d72d437236b |
completed | May 10, 2026, 3:32 p.m. |
| NEDg | Description generation | batch_6a00a685753881908c3fef10823ce569 |
completed | May 10, 2026, 3:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00a7174f5c8190891ddd180c50aee3 |
completed | May 10, 2026, 3:41 p.m. |
Created at: April 10, 2026, 5:21 a.m.