Triple

T13837221
Position Surface form Disambiguated ID Type / Status
Subject Schlüterhof courtyard E332561 entity
Predicate namedAfter P63 FINISHED
Object Andreas Schlüter E332558 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: Andreas Schlüter | Statement: [Schlüterhof courtyard, namedAfter, Andreas Schlüter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andreas Schlüter
Context triple: [Schlüterhof courtyard, namedAfter, Andreas Schlüter]
  • A. Andreas Schlüter chosen
    Andreas Schlüter was a prominent German Baroque sculptor and architect best known for his influential work in Prussia at the turn of the 18th century.
  • B. Andreas Schlüter
    Andreas Schlüter is a German local politician who serves as the mayor of the municipality of Gerswalde in Brandenburg.
  • C. Uwe Schlaich
    Uwe Schlaich is a German architect known for designing the main building of the Topography of Terror documentation center in Berlin.
  • D. Klaus Badelt
    Klaus Badelt is a German film composer best known for his work on major Hollywood scores such as "Pirates of the Caribbean: The Curse of the Black Pearl."
  • E. Ulrich Kleemann
    Ulrich Kleemann was a German Wehrmacht general during World War II who commanded armored and light divisions, including units deployed in North Africa.
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de029b352081909605baaedc336213 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69fcdeefd61c81908d189237af45467a completed May 7, 2026, 6:50 p.m.
Created at: April 9, 2026, 10:13 p.m.