Triple

T4372360
Position Surface form Disambiguated ID Type / Status
Subject Hermann Kafka E98924 entity
Predicate relative P37 FINISHED
Object Julie Kafka
Julie Kafka was the mother of the writer Franz Kafka and the wife of Prague merchant Hermann Kafka.
 E102584 NE FINISHED

How this triple was built (4 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: Julie Kafka | Statement: [Hermann Kafka, relative, Julie Kafka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Julie Kafka
Context triple: [Hermann Kafka, relative, Julie Kafka]
  • A. Julie Kafka
    Julie Kafka was the mother of renowned writer Franz Kafka and a member of a middle-class Jewish family in Prague.
  • B. 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.
  • C. Valerie Kafka
    Valerie Kafka was one of Franz Kafka’s sisters and a member of the Kafka family in early 20th-century Prague.
  • 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. Gabriele Kafka
    Gabriele Kafka was one of Franz Kafka’s sisters, a member of the Kafka family in early 20th-century Prague.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Julie Kafka
Triple: [Hermann Kafka, relative, Julie Kafka]
Generated description
Julie Kafka was the mother of the writer Franz Kafka and the wife of Prague merchant Hermann Kafka.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Julie Kafka
Target entity description: Julie Kafka was the mother of the writer Franz Kafka and the wife of Prague merchant Hermann Kafka.
  • A. Julie Kafka chosen
    Julie Kafka was the mother of renowned writer Franz Kafka and a member of a middle-class Jewish family in Prague.
  • B. 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.
  • C. Valerie Kafka
    Valerie Kafka was one of Franz Kafka’s sisters and a member of the Kafka family in early 20th-century Prague.
  • 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. Gabriele Kafka
    Gabriele Kafka was one of Franz Kafka’s sisters, a member of the Kafka family in early 20th-century Prague.
  • F. None of above.

Provenance (5 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_69b3454db3708190aeafd814413c4c3d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3521f7d9c81909c9209fe59d20ffd completed March 12, 2026, 11:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b6135623888190bf7a4b558ca3e0d4 completed March 15, 2026, 2:03 a.m.
NEDg Description generation batch_69b614371b2081909fabb88f2993dd29 completed March 15, 2026, 2:06 a.m.
NED2 Entity disambiguation (via description) batch_69b6155a57c08190bbf2e88f95cede16 completed March 15, 2026, 2:11 a.m.
Created at: March 12, 2026, 11:17 p.m.