Triple

T21493916
Position Surface form Disambiguated ID Type / Status
Subject Francesca Donner E530305 entity
Predicate givenName P17 FINISHED
Object Franziska 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: Franziska | Statement: [Francesca Donner, givenName, Franziska]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Franziska
Context triple: [Francesca Donner, givenName, Franziska]
  • A. Franziska chosen
    Franziska is a feminine given name of German origin, closely related to and cognate with the name Frances.
  • B. Fricka
    Fricka is the goddess of marriage and the jealous, morally rigid wife of Wotan in Richard Wagner’s Ring Cycle.
  • C. Verena
    Verena is a feminine given name of Latin origin, commonly used in German-speaking and other European countries.
  • D. Gisela
    Gisela was a daughter of Charlemagne, the Frankish king and first Holy Roman Emperor, and a member of the Carolingian royal family.
  • E. Gisela
    Gisela was a daughter of the West Frankish king and Holy Roman Emperor Charles the Bald, belonging to the Carolingian royal dynasty of the 9th century.
  • 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_69e0c45bd15481909fba5910765cdda2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea567244819091863350fedae3ae completed April 23, 2026, 9:45 a.m.
Created at: April 16, 2026, 6:23 p.m.