Triple

T20253579
Position Surface form Disambiguated ID Type / Status
Subject Bruno Ganz E498622 entity
Predicate awardReceived P11 FINISHED
Object Iffland-Ring 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: Iffland-Ring | Statement: [Bruno Ganz, awardReceived, Iffland-Ring]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Iffland-Ring
Context triple: [Bruno Ganz, awardReceived, Iffland-Ring]
  • A. Iffland-Ring chosen
    The Iffland-Ring is a prestigious, tradition-steeped honor in German-speaking theater, passed from actor to actor as a symbol of being regarded as the greatest living German-language stage performer.
  • B. Schubertring
    Schubertring is a section of Vienna’s historic Ringstrasse boulevard, known for its elegant 19th-century architecture and proximity to major cultural landmarks.
  • C. Nordwestring
    Nordwestring is a terminus station on the Nuremberg U-Bahn rapid transit network in Nuremberg, Germany.
  • D. Nuremberg Ring Road
    The Nuremberg Ring Road is a major orbital traffic route encircling the city of Nuremberg, Germany, providing key access to urban districts and important sites such as the exhibition centre.
  • E. Taunusstraße
    Taunusstraße is a well-known street in Frankfurt’s Bahnhofsviertel district, noted for its nightlife, diverse restaurants, and red-light establishments.
  • 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_69da6274c58c81909c646eabed6f4f30 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e673aa42348190852ae8313f4494ca completed April 20, 2026, 6:42 p.m.
Created at: April 11, 2026, 11:41 p.m.