Triple

T18314345
Position Surface form Disambiguated ID Type / Status
Subject Rolf Behrens E438715 entity
Predicate hasSurname P18 FINISHED
Object Behrens
Behrens is a German-language surname borne by various notable individuals in fields such as design, architecture, sports, and the arts.
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: [Rolf Behrens, hasSurname, Behrens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Behrens
Context triple: [Rolf Behrens, hasSurname, 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: [Rolf Behrens, hasSurname, Behrens]
Generated description
Behrens is a German-language surname borne by various notable individuals in fields such as design, architecture, sports, and the arts.
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, architecture, sports, and the arts.
  • 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_69d8b916a2d081909e249e4902f6aad9 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5021b7e2c81908cd3b6684ab899f6 completed April 19, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03c4c1d8048190916dcc7146d15bc4 completed May 13, 2026, 12:24 a.m.
NEDg Description generation batch_6a03c66b72a0819081fe77b42060d6de completed May 13, 2026, 12:31 a.m.
NED2 Entity disambiguation (via description) batch_6a03c6f191b081909a0e65fa1d553b82 completed May 13, 2026, 12:33 a.m.
Created at: April 10, 2026, 10:36 a.m.