Triple

T6403167
Position Surface form Disambiguated ID Type / Status
Subject Maria Lvovna Tolstaya E144111 entity
Predicate patronymicName P7966 FINISHED
Object Lvovna
Lvovna is a Russian patronymic derived from the male given name Lev, traditionally used as the middle name for daughters of men named Lev.
 E590360 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: Lvovna | Statement: [Maria Lvovna Tolstaya, patronymicName, Lvovna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lvovna
Context triple: [Maria Lvovna Tolstaya, patronymicName, Lvovna]
  • A. Lvov
    Lvov is a Russian noble family name most notably borne by Georgy Lvov, the first head of the Russian Provisional Government after the February Revolution of 1917.
  • B. Lublinitz
    Lublinitz is the former German name for the town of Lubliniec, located in southern Poland’s Silesian region.
  • C. Krasny Kut
    Krasny Kut is a small town in southwestern Russia known as an administrative and agricultural center within the Saratov region.
  • D. Karlovasi
    Karlovasi is a coastal town on the Greek island of Samos, known for its neoclassical architecture, port, and role as a local commercial and educational center.
  • E. Liozna
    Liozna is a small settlement in present-day Belarus historically known as the birthplace of the artist Marc Chagall.
  • 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: Lvovna
Triple: [Maria Lvovna Tolstaya, patronymicName, Lvovna]
Generated description
Lvovna is a Russian patronymic derived from the male given name Lev, traditionally used as the middle name for daughters of men named Lev.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lvovna
Target entity description: Lvovna is a Russian patronymic derived from the male given name Lev, traditionally used as the middle name for daughters of men named Lev.
  • A. Lvov
    Lvov is a Russian noble family name most notably borne by Georgy Lvov, the first head of the Russian Provisional Government after the February Revolution of 1917.
  • B. Lublinitz
    Lublinitz is the former German name for the town of Lubliniec, located in southern Poland’s Silesian region.
  • C. Krasny Kut
    Krasny Kut is a small town in southwestern Russia known as an administrative and agricultural center within the Saratov region.
  • D. Karlovasi
    Karlovasi is a coastal town on the Greek island of Samos, known for its neoclassical architecture, port, and role as a local commercial and educational center.
  • E. Liozna
    Liozna is a small settlement in present-day Belarus historically known as the birthplace of the artist Marc Chagall.
  • 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_69c008dc56fc81908d43ffcc11d73bdd completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c068af3f448190a94ecd5109e9e8e4 completed March 22, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c638a6e6248190bda7ad3fbd8f4746 completed March 27, 2026, 7:58 a.m.
NEDg Description generation batch_69c63a25424c81908f065e1576973275 completed March 27, 2026, 8:04 a.m.
NED2 Entity disambiguation (via description) batch_69c63ab1e13c8190941888ed65574f7d completed March 27, 2026, 8:07 a.m.
Created at: March 22, 2026, 4:35 p.m.