Triple

T7134309
Position Surface form Disambiguated ID Type / Status
Subject Ernst Cassirer E166266 entity
Predicate spouse P13 FINISHED
Object Toni Cassirer E166266 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: Toni Cassirer | Statement: [Ernst Cassirer, spouse, Toni Cassirer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toni Cassirer
Context triple: [Ernst Cassirer, spouse, Toni Cassirer]
  • A. Toni Cassirer chosen
    Toni Cassirer was a German intellectual and salonnière known for her role in Berlin’s cultural life and as the wife and later memoirist of philosopher Ernst Cassirer.
  • B. Bruno Cassirer
    Bruno Cassirer was a prominent early 20th-century German-Jewish publisher and art dealer known for his influential role in modern art and literature.
  • C. Elisabeth Binzenstock
    Elisabeth Binzenstock was the wife of the renowned German Renaissance painter Hans Holbein the Younger.
  • D. Gudrun Burwitz
    Gudrun Burwitz was the daughter of Heinrich Himmler who became known after World War II for her lifelong loyalty to Nazi ideology and support for former SS members.
  • E. Daniel Fuchs
    Daniel Fuchs was an American novelist and screenwriter known for his Brooklyn-set fiction and acclaimed Hollywood screenplays, including several classic film noirs.
  • 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_69c68884a9388190af42f90d1c1a7151 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e68f15bc8190a4d82b8ee388f497 completed March 27, 2026, 8:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a344fb4881908f6b6e33706e0192 completed March 28, 2026, 9:45 a.m.
Created at: March 27, 2026, 2:45 p.m.