Triple

T9315554
Position Surface form Disambiguated ID Type / Status
Subject Tatiana Nikolaevna E224108 entity
Predicate patronymicName P7966 FINISHED
Object Nikolaevna E158235 NE FINISHED

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: Nikolaevna | Statement: [Tatiana Nikolaevna, patronymicName, Nikolaevna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nikolaevna
Context triple: [Tatiana Nikolaevna, patronymicName, Nikolaevna]
  • A. Nikolaevna chosen
    Nikolaevna is a Russian patronymic indicating "daughter of Nikolai," famously borne by Grand Duchess Anastasia Nikolaevna of Russia.
  • B. Natalia Petrovna
    Natalia Petrovna was a Russian princess of the Romanov dynasty and sister of Empress Elizabeth of Russia.
  • C. Nina Alexandrovna
    Nina Alexandrovna was an actress known for her role in Sergei Eisenstein’s silent Soviet film "The General Line."
  • D. Alekseyevna
    Alekseyevna is a Russian patronymic surname suffix meaning "daughter of Alexei," historically borne by women such as Sophia Alekseyevna of Russia.
  • E. Alexandrovna
    Alexandrovna is a Russian female patronymic indicating "daughter of Alexander," commonly used in the full names of women in Russian nobility and broader Russian culture.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca8425f4fc81909c1c586e9a5b7530 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd358846e48190a8aacfab19d88ae7 completed April 1, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0f3a3fb288190ac38f8df19eb1e79 completed April 4, 2026, 11:19 a.m.
Created at: March 30, 2026, 7:37 p.m.