Triple

T18633455
Position Surface form Disambiguated ID Type / Status
Subject Ottla Kafka E455479 entity
Predicate sibling P363 FINISHED
Object Valerie Kafka 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: Valerie Kafka | Statement: [Ottla Kafka, sibling, Valerie Kafka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valerie Kafka
Context triple: [Ottla Kafka, sibling, Valerie Kafka]
  • A. Valerie Kafka chosen
    Valerie Kafka was one of Franz Kafka’s sisters and a member of the Kafka family in early 20th-century Prague.
  • B. Julie Kafka
    Julie Kafka was the mother of renowned writer Franz Kafka and a member of a middle-class Jewish family in Prague.
  • C. Margit Kaffka
    Margit Kaffka was a prominent early 20th-century Hungarian modernist writer and poet, known for her psychologically rich novels and short stories exploring the lives and struggles of women.
  • D. Ottla Kafka
    Ottla Kafka was the youngest sister of writer Franz Kafka, known from his diaries and letters for their close relationship and her later persecution and death in the Holocaust.
  • E. Emma Kunz
    Emma Kunz was a Swiss healer, researcher, and artist known for her geometric drawings and work with natural remedies, particularly the healing rock AION A.
  • 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_69d8d38cc7948190a55ea64e5638994e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54fc74d208190bfda63b5b0b160cd completed April 19, 2026, 9:57 p.m.
Created at: April 10, 2026, 11:46 a.m.