Triple

T21038598
Position Surface form Disambiguated ID Type / Status
Subject Georg Kafka E518257 entity
Predicate memberOf P10 FINISHED
Object Kafka family 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: Kafka family | Statement: [Georg Kafka, memberOf, Kafka family]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kafka family
Context triple: [Georg Kafka, memberOf, Kafka family]
  • A. Kafka family chosen
    The Kafka family is the Central European Jewish family best known for including the influential writer Franz Kafka and his relatives in Prague.
  • B. Heinz family
    The Heinz family is an American philanthropic and political dynasty best known for its fortune from the H. J. Heinz food company and its extensive charitable, cultural, and public-service initiatives.
  • C. Zamenhof family
    The Zamenhof family is a notable Polish-Jewish family best known for producing L. L. Zamenhof, the creator of the international language Esperanto.
  • D. Mezvinsky family
    The Mezvinsky family is an American political and business family best known for its connections to U.S. politics and its tie to the Clinton family through marriage.
  • E. Dönhoff family
    The Dönhoff family is a prominent German-Baltic noble lineage historically influential in Prussian and Polish affairs, producing notable statesmen, military leaders, and intellectuals.
  • 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_69e0b50438e08190917e2538bb8bc034 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fcee13b08190a8b3372f6759cd1b completed April 21, 2026, 4:28 a.m.
Created at: April 16, 2026, 2:12 p.m.