Triple

T17422198
Position Surface form Disambiguated ID Type / Status
Subject Zofia E423642 entity
Predicate hasRelatedName P3889 FINISHED
Object Zofie 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: Zofie | Statement: [Zofia, hasRelatedName, Zofie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zofie
Context triple: [Zofia, hasRelatedName, Zofie]
  • A. Zośka
    Zośka was the nickname of a famed Polish Home Army battalion known for its role in the Warsaw Uprising during World War II.
  • B. Zedka
    Zedka is a fellow patient in Paulo Coelho’s novel "Veronika Decides to Die," known for her struggle with depression and her role in challenging Veronika’s understanding of madness and freedom.
  • C. Zofka chosen
    Zofka is a diminutive, affectionate form of the female given name Zofia, commonly used in Slavic languages.
  • D. Zofia
    Zofia is a feminine given name of Slavic origin, particularly common in Poland and other Central and Eastern European countries.
  • E. Zuzanna
    Zuzanna is a feminine given name, primarily used in Slavic countries, that is a variant of the name Susanna.
  • 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_69d889d88b6081908bada047f5b3ba51 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e44237f2cc819083ca0e7e00d828fb completed April 19, 2026, 2:47 a.m.
Created at: April 10, 2026, 5:46 a.m.