Triple

T12338833
Position Surface form Disambiguated ID Type / Status
Subject Maria Spiridonova E294165 entity
Predicate familyName P18 FINISHED
Object Spiridonova
Spiridonova is a Russian surname most notably associated with Maria Spiridonova, a prominent Socialist Revolutionary and political figure in early 20th-century Russia.
 E978767 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: Spiridonova | Statement: [Maria Spiridonova, familyName, Spiridonova]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Spiridonova
Context triple: [Maria Spiridonova, familyName, Spiridonova]
  • A. Tikhonova
    Tikhonova is a Russian surname most prominently associated with Katerina Tikhonova, a public figure widely reported to be one of Vladimir Putin’s daughters.
  • B. Govardeyskaya
    Govardeyskaya is a Moscow Metro station on the Kalininsko–Solntsevskaya line.
  • C. Larisa
    Larisa was an ancient Greek city located in the region of Aeolis in western Asia Minor.
  • D. Larisa
    Larisa is a feminine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
  • E. Ulyanova
    Ulyanova is a Russian surname most notably borne by the family of Vladimir Lenin, including his sister Maria Ulyanova.
  • 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: Spiridonova
Triple: [Maria Spiridonova, familyName, Spiridonova]
Generated description
Spiridonova is a Russian surname most notably associated with Maria Spiridonova, a prominent Socialist Revolutionary and political figure in early 20th-century Russia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Spiridonova
Target entity description: Spiridonova is a Russian surname most notably associated with Maria Spiridonova, a prominent Socialist Revolutionary and political figure in early 20th-century Russia.
  • A. Tikhonova
    Tikhonova is a Russian surname most prominently associated with Katerina Tikhonova, a public figure widely reported to be one of Vladimir Putin’s daughters.
  • B. Govardeyskaya
    Govardeyskaya is a Moscow Metro station on the Kalininsko–Solntsevskaya line.
  • C. Larisa
    Larisa is a feminine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
  • D. Larisa
    Larisa was an ancient Greek city located in the region of Aeolis in western Asia Minor.
  • E. Ulyanova
    Ulyanova is a Russian surname most notably borne by the family of Vladimir Lenin, including his sister Maria Ulyanova.
  • 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_69d6ab6ccbec8190b09e2d357aa80064 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f678698819091462b44ff3435f6 completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62aa7e33c819084e5673a5fb8cac7 completed May 2, 2026, 4:47 p.m.
NEDg Description generation batch_69f62c55aacc8190a0544306825bdfab completed May 2, 2026, 4:54 p.m.
NED2 Entity disambiguation (via description) batch_69f62d51ab8081909c6f534051019dca completed May 2, 2026, 4:58 p.m.
Created at: April 8, 2026, 9:53 p.m.