Triple

T21467314
Position Surface form Disambiguated ID Type / Status
Subject The Book of Laughter and Forgetting E529624 entity
Predicate notableCharacter P1481 FINISHED
Object Kristyna
Kristyna is a character in Milan Kundera’s novel "The Book of Laughter and Forgetting," representing themes of eroticism, memory, and the complexities of human relationships.
 E1486300 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: Kristyna | Statement: [The Book of Laughter and Forgetting, notableCharacter, Kristyna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kristyna
Context triple: [The Book of Laughter and Forgetting, notableCharacter, Kristyna]
  • A. Martyna
    Martyna is a feminine given name used in various European countries, often considered a variant of names like Martina or Martine.
  • B. Kristina Pomorska
    Kristina Pomorska was a Polish-born scholar of Slavic literature and linguistics, known for her work on Russian formalism and her collaborations with Roman Jakobson.
  • C. Katarzyna
    Katarzyna is a common Polish female given name, equivalent to Catherine in English.
  • D. Klaudija
    Klaudija is a feminine given name, commonly used in Slavic countries, that corresponds to the name Claudia.
  • E. Dagmara
    Dagmara is a feminine given name, primarily used in Slavic countries, that is a variant of the name Dagmar.
  • 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: Kristyna
Triple: [The Book of Laughter and Forgetting, notableCharacter, Kristyna]
Generated description
Kristyna is a character in Milan Kundera’s novel "The Book of Laughter and Forgetting," representing themes of eroticism, memory, and the complexities of human relationships.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kristyna
Target entity description: Kristyna is a character in Milan Kundera’s novel "The Book of Laughter and Forgetting," representing themes of eroticism, memory, and the complexities of human relationships.
  • A. Martyna
    Martyna is a feminine given name used in various European countries, often considered a variant of names like Martina or Martine.
  • B. Kristina Pomorska
    Kristina Pomorska was a Polish-born scholar of Slavic literature and linguistics, known for her work on Russian formalism and her collaborations with Roman Jakobson.
  • C. Katarzyna
    Katarzyna is a common Polish female given name, equivalent to Catherine in English.
  • D. Klaudija
    Klaudija is a feminine given name, commonly used in Slavic countries, that corresponds to the name Claudia.
  • E. Dagmara
    Dagmara is a feminine given name, primarily used in Slavic countries, that is a variant of the name Dagmar.
  • 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_69e0c459acb481909bb6ee452a0045c7 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9f415d48190a2b0993a4f3c018f completed April 23, 2026, 9:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09cff53c5c8190824b561ed79da378 completed May 17, 2026, 2:25 p.m.
NEDg Description generation batch_6a09d08ffa3c8190b5ab7e4cbf78719f completed May 17, 2026, 2:28 p.m.
NED2 Entity disambiguation (via description) batch_6a09d18c77e481908a353d443d79b7ca completed May 17, 2026, 2:32 p.m.
Created at: April 16, 2026, 6:14 p.m.