Triple

T11019793
Position Surface form Disambiguated ID Type / Status
Subject Martine E260455 entity
Predicate hasVariant P455 FINISHED
Object Martyna
Martyna is a feminine given name used in various European countries, often considered a variant of names like Martina or Martine.
 E899669 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: Martyna | Statement: [Martine, hasVariant, Martyna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Martyna
Context triple: [Martine, hasVariant, Martyna]
  • A. Dagmara
    Dagmara is a feminine given name, primarily used in Slavic countries, that is a variant of the name Dagmar.
  • B. Michalina
    Michalina is a feminine given name of Slavic origin, commonly used in Polish-speaking countries.
  • C. Zofia
    Zofia is a feminine given name of Slavic origin, particularly common in Poland and other Central and Eastern European countries.
  • D. Józefina
    Józefina is the Polish form of the female given name Josephine, commonly used in Poland and among Polish-speaking communities.
  • E. Sylwia
    Sylwia is a feminine given name, primarily used in Poland, that is a cognate of the name Sylvia.
  • 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: Martyna
Triple: [Martine, hasVariant, Martyna]
Generated description
Martyna is a feminine given name used in various European countries, often considered a variant of names like Martina or Martine.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Martyna
Target entity description: Martyna is a feminine given name used in various European countries, often considered a variant of names like Martina or Martine.
  • A. Dagmara
    Dagmara is a feminine given name, primarily used in Slavic countries, that is a variant of the name Dagmar.
  • B. Michalina
    Michalina is a feminine given name of Slavic origin, commonly used in Polish-speaking countries.
  • C. Zofia
    Zofia is a feminine given name of Slavic origin, particularly common in Poland and other Central and Eastern European countries.
  • D. Józefina
    Józefina is the Polish form of the female given name Josephine, commonly used in Poland and among Polish-speaking communities.
  • E. Sylwia
    Sylwia is a feminine given name, primarily used in Poland, that is a cognate of the name Sylvia.
  • 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_69d6aa9687448190b28d353b1b6a610e completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797baad408190a53fd6941a750f68 completed April 9, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69e374e550508190aa3779191196f329 completed April 18, 2026, 12:11 p.m.
NEDg Description generation batch_69e378df767c819099d0bfdf35eaf5f3 completed April 18, 2026, 12:28 p.m.
NED2 Entity disambiguation (via description) batch_69e37bf526108190b5fc22569fe6be54 completed April 18, 2026, 12:41 p.m.
Created at: April 8, 2026, 9:25 p.m.