Triple

T13350862
Position Surface form Disambiguated ID Type / Status
Subject Peter Handke E318062 entity
Predicate influencedBy P9 FINISHED
Object Franz Kafka E18045 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: Franz Kafka | Statement: [Peter Handke, influencedBy, Franz Kafka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Franz Kafka
Context triple: [Peter Handke, influencedBy, Franz Kafka]
  • A. Franz Kafka chosen
    Franz Kafka was a 20th-century Bohemian novelist and short-story writer whose surreal, existential works like "The Metamorphosis" and "The Trial" profoundly shaped modern literature.
  • B. Gabriele Kafka
    Gabriele Kafka was one of Franz Kafka’s sisters, a member of the Kafka family in early 20th-century Prague.
  • C. Georg Kafka
    Georg Kafka was a member of the Kafka family and a relative of the renowned writer Franz Kafka.
  • D. Hermann Kafka
    Hermann Kafka was a Prague businessman and the domineering father of writer Franz Kafka, whose difficult relationship with his son deeply influenced Franz's life and work.
  • E. 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.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99e8c2f1c819094f0970f35f18afa completed April 11, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f47fd7c8190b8d98a181acd7710 completed May 3, 2026, 10:11 a.m.
Created at: April 9, 2026, 9:31 p.m.