Triple

T2742488
Position Surface form Disambiguated ID Type / Status
Subject Natalia Petrovna E60783 entity
Predicate patronymicName P7966 FINISHED
Object Petrovna
Petrovna is a common Russian patronymic derived from the male given name Pyotr, typically meaning "daughter of Pyotr."
E295292 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: Petrovna | Statement: [Natalia Petrovna, patronymicName, Petrovna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Petrovna
Context triple: [Natalia Petrovna, patronymicName, Petrovna]
  • A. Nikolaevna
    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. Eudoxia Lopukhina
    Eudoxia Lopukhina was the first wife of Russian Tsar Peter the Great and Tsarina consort of Russia before being later divorced and forced into monastic life.
  • D. Anna Petrovna
    Anna Petrovna was a Russian grand duchess, daughter of Tsar Peter the Great, who became Duchess of Holstein-Gottorp and mother of the future Peter III of Russia.
  • E. Ekaterina Pavlovna Volzhina
    Ekaterina Pavlovna Volzhina was the wife of renowned Russian writer Maksim Gorky and a figure associated with his early literary and political life.
  • 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: Petrovna
Triple: [Natalia Petrovna, patronymicName, Petrovna]
Generated description
Petrovna is a common Russian patronymic derived from the male given name Pyotr, typically meaning "daughter of Pyotr."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Petrovna
Target entity description: Petrovna is a common Russian patronymic derived from the male given name Pyotr, typically meaning "daughter of Pyotr."
  • A. Nikolaevna
    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. Eudoxia Lopukhina
    Eudoxia Lopukhina was the first wife of Russian Tsar Peter the Great and Tsarina consort of Russia before being later divorced and forced into monastic life.
  • D. Anna Petrovna
    Anna Petrovna was a Russian grand duchess, daughter of Tsar Peter the Great, who became Duchess of Holstein-Gottorp and mother of the future Peter III of Russia.
  • E. Ekaterina Pavlovna Volzhina
    Ekaterina Pavlovna Volzhina was the wife of renowned Russian writer Maksim Gorky and a figure associated with his early literary and political life.
  • 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_69ab4b77febc819095603eb012cd141b completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb303898819098a7d192e29817f8 completed March 7, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbcca19881908b2e2eb0478c3e45 completed March 10, 2026, 6:35 a.m.
NEDg Description generation batch_69afbc758cc48190a96f80a850316ce3 completed March 10, 2026, 6:38 a.m.
NED2 Entity disambiguation (via description) batch_69afbd7be9088190a19bed27249e95c4 completed March 10, 2026, 6:43 a.m.
Created at: March 6, 2026, 9:56 p.m.