Triple

T20555736
Position Surface form Disambiguated ID Type / Status
Subject Günther Behnisch E504715 entity
Predicate familyName P18 FINISHED
Object Behnisch 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: Behnisch | Statement: [Günther Behnisch, familyName, Behnisch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Behnisch
Context triple: [Günther Behnisch, familyName, Behnisch]
  • A. Sauerbruch Hutton
    Sauerbruch Hutton is a renowned Berlin-based architecture firm known for its colorful, sustainable designs and influential contemporary European projects.
  • B. Coop Himmelb(l)au
    Coop Himmelb(l)au is an avant-garde Austrian architecture firm known for its deconstructivist designs and expressive, sculptural buildings worldwide.
  • C. Mecanoo
    Mecanoo is a Dutch architecture firm renowned for its innovative, context-sensitive designs for cultural, educational, and public buildings worldwide.
  • D. Günther Behnisch chosen
    Günther Behnisch was a prominent German architect best known for his innovative, lightweight, and expressive modernist designs, including major sports and public buildings in postwar Germany.
  • E. Jürgen Mayer
    Jürgen Mayer is a German architect and artist known for his innovative, sculptural designs that blend architecture with digital technology and public art.
  • 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_69e0b4b52c048190952b4d0f430813a3 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a5dd02588190abddfcb868259a38 completed April 20, 2026, 10:17 p.m.
Created at: April 16, 2026, 11:38 a.m.