Triple

T21140897
Position Surface form Disambiguated ID Type / Status
Subject Tatiana Larina E520921 entity
Predicate parent P120 FINISHED
Object Madame Larina NE NERFINISHED

How this triple was built (2 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: Madame Larina | Statement: [Tatiana Larina, parent, Madame Larina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Madame Larina
Context triple: [Tatiana Larina, parent, Madame Larina]
  • A. Larina chosen
    Larina is a Russian surname most notably borne by Anna Larina, the widow of Bolshevik leader Nikolai Bukharin.
  • B. Tatyana
    Tatyana is a feminine given name of Slavic origin, particularly common in Russian-speaking countries.
  • C. 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.
  • D. Chaika
    Chaika was the radio callsign used by Soviet cosmonaut Valentina Tereshkova during her historic 1963 Vostok 6 mission as the first woman in space.
  • E. Dora di Veny
    Dora di Veny is a mountain stream in Italy’s Aosta Valley that drains the southern side of Mont Blanc and contributes to the upper course of the Dora Baltea river.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b50b53048190ae34e8abbe3c5ada completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7235f77708190809d6aa3ee8056aa completed April 21, 2026, 7:12 a.m.
Created at: April 16, 2026, 2:57 p.m.