Triple

T15537554
Position Surface form Disambiguated ID Type / Status
Subject Masha E370387 entity
Predicate hasNicknamedForm P56482 FINISHED
Object Mashenka
Mashenka is a Russian diminutive form of the female given name Maria, often used affectionately for girls and women.
 E1162124 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: Mashenka | Statement: [Masha, hasNicknamedForm, Mashenka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mashenka
Context triple: [Masha, hasNicknamedForm, Mashenka]
  • A. Mishenka
    Mishenka is a Russian affectionate diminutive form of the male given name Mikhail.
  • B. Marichka
    Marichka is a key supporting character in the dystopian film "Children of Men," known for helping protect the first pregnant woman in years.
  • C. Fenitschka
    Fenitschka is a novella by Lou Andreas-Salomé that explores themes of female independence, intellectual freedom, and unconventional relationships in late 19th-century European society.
  • D. Grushenka
    Grushenka is a central female character in Fyodor Dostoevsky's novel "The Brothers Karamazov," known for her complex mix of sensuality, capriciousness, and capacity for moral and spiritual transformation.
  • E. Sashenka
    Sashenka is a Russian diminutive form of the given name Aleksandr (Alexander), often used as an affectionate nickname.
  • 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: Mashenka
Triple: [Masha, hasNicknamedForm, Mashenka]
Generated description
Mashenka is a Russian diminutive form of the female given name Maria, often used affectionately for girls and women.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mashenka
Target entity description: Mashenka is a Russian diminutive form of the female given name Maria, often used affectionately for girls and women.
  • A. Mishenka
    Mishenka is a Russian affectionate diminutive form of the male given name Mikhail.
  • B. Marichka
    Marichka is a key supporting character in the dystopian film "Children of Men," known for helping protect the first pregnant woman in years.
  • C. Fenitschka
    Fenitschka is a novella by Lou Andreas-Salomé that explores themes of female independence, intellectual freedom, and unconventional relationships in late 19th-century European society.
  • D. Grushenka
    Grushenka is a central female character in Fyodor Dostoevsky's novel "The Brothers Karamazov," known for her complex mix of sensuality, capriciousness, and capacity for moral and spiritual transformation.
  • E. Sashenka
    Sashenka is a Russian diminutive form of the given name Aleksandr (Alexander), often used as an affectionate nickname.
  • 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_69d85cc521a08190921fb50319dddc34 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e0442f3c688190a599165e526af2ed completed April 16, 2026, 2:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d626e688190bd93481cfd6cb255 completed May 9, 2026, 1:57 p.m.
NEDg Description generation batch_69ff3f075bb881908c254137ca7c3f9f completed May 9, 2026, 2:04 p.m.
NED2 Entity disambiguation (via description) batch_69ff3f87f788819080eccae52b0df145 completed May 9, 2026, 2:07 p.m.
Created at: April 10, 2026, 4:06 a.m.