Triple

T19908315
Position Surface form Disambiguated ID Type / Status
Subject Aharon Appelfeld E478476 entity
Predicate notableWork P4 FINISHED
Object Katerina
Katerina is a novel by Israeli writer Aharon Appelfeld that explores themes of memory, identity, and Jewish–Gentile relations in pre- and post-Holocaust Eastern Europe.
 E1400896 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: Katerina | Statement: [Aharon Appelfeld, notableWork, Katerina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Katerina
Context triple: [Aharon Appelfeld, notableWork, Katerina]
  • A. Caterina
    Caterina is an Italian given name, equivalent to Catherine, commonly used for women in Italian-speaking and related cultures.
  • B. Isidora
    Isidora is a feminine given name of Greek origin, commonly considered the female form of Isidore and meaning "gift of Isis."
  • C. Teodora
    Teodora is a feminine given name commonly used in various languages, derived from the Greek name Theodora meaning "gift of God."
  • D. Gavriella
    Gavriella is a feminine given name, typically considered a variant of Gabriella with similar Hebrew and Italian roots meaning "God is my strength."
  • E. Catarina
    Catarina is a small Nicaraguan town and municipality known for its scenic views over Laguna de Apoyo and its traditional plant and craft markets.
  • 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: Katerina
Triple: [Aharon Appelfeld, notableWork, Katerina]
Generated description
Katerina is a novel by Israeli writer Aharon Appelfeld that explores themes of memory, identity, and Jewish–Gentile relations in pre- and post-Holocaust Eastern Europe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Katerina
Target entity description: Katerina is a novel by Israeli writer Aharon Appelfeld that explores themes of memory, identity, and Jewish–Gentile relations in pre- and post-Holocaust Eastern Europe.
  • A. Caterina
    Caterina is an Italian given name, equivalent to Catherine, commonly used for women in Italian-speaking and related cultures.
  • B. Isidora
    Isidora is a feminine given name of Greek origin, commonly considered the female form of Isidore and meaning "gift of Isis."
  • C. Teodora
    Teodora is a feminine given name commonly used in various languages, derived from the Greek name Theodora meaning "gift of God."
  • D. Gavriella
    Gavriella is a feminine given name, typically considered a variant of Gabriella with similar Hebrew and Italian roots meaning "God is my strength."
  • E. Catarina
    Catarina is a small Nicaraguan town and municipality known for its scenic views over Laguna de Apoyo and its traditional plant and craft markets.
  • F. None of above. chosen

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_69d8e520682081909892916424699bd5 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6598d91ac8190be6abdd7d1542aec completed April 20, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07ea494af08190ac8c43797bff5012 completed May 16, 2026, 3:53 a.m.
NEDg Description generation batch_6a07ee6d8ef481908987eef826425806 completed May 16, 2026, 4:11 a.m.
NED2 Entity disambiguation (via description) batch_6a07eec5b4788190b697a0b7382b5c2b completed May 16, 2026, 4:12 a.m.
Created at: April 10, 2026, 1:53 p.m.