Triple

T6750929
Position Surface form Disambiguated ID Type / Status
Subject Lou Andreas-Salomé E154338 entity
Predicate notableWork P4 FINISHED
Object 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.
 E616150 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: Fenitschka | Statement: [Lou Andreas-Salomé, notableWork, Fenitschka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fenitschka
Context triple: [Lou Andreas-Salomé, notableWork, Fenitschka]
  • A. 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.
  • B. Rositsa
    Rositsa is a river in northern Bulgaria that serves as a significant tributary of the Yantra River.
  • C. Aloysya
    Aloysya is a given name, typically a feminine variant of Aloysius, used in various cultures and languages.
  • D. Antoshka
    Antoshka is a common Russian diminutive form of the male given name Anton, often used affectionately or informally.
  • E. Yunaska
    Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
  • 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: Fenitschka
Triple: [Lou Andreas-Salomé, notableWork, Fenitschka]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fenitschka
Target entity description: 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.
  • A. 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.
  • B. Rositsa
    Rositsa is a river in northern Bulgaria that serves as a significant tributary of the Yantra River.
  • C. Aloysya
    Aloysya is a given name, typically a feminine variant of Aloysius, used in various cultures and languages.
  • D. Antoshka
    Antoshka is a common Russian diminutive form of the male given name Anton, often used affectionately or informally.
  • E. Yunaska
    Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
  • 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_69c6880ef37881909268a5a7299b9293 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1dbc3a48190a35df5dad8c630e8 completed March 27, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70b1a0d7481908a813fa5c2e1ba6e completed March 27, 2026, 10:56 p.m.
NEDg Description generation batch_69c70c82a2008190b0f5f859687a7de5 completed March 27, 2026, 11:02 p.m.
NED2 Entity disambiguation (via description) batch_69c70d7e3d748190ace98ad9cb9c425b completed March 27, 2026, 11:06 p.m.
Created at: March 27, 2026, 2:11 p.m.