Triple

T12929546
Position Surface form Disambiguated ID Type / Status
Subject Anna Leontyevna Leontyeva E309336 entity
Predicate familyName P18 FINISHED
Object Leontyeva
Leontyeva is a Russian surname, typically the feminine form of Leontyev, borne by individuals such as Anna Leontyevna Leontyeva.
E1011404 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: Leontyeva | Statement: [Anna Leontyevna Leontyeva, familyName, Leontyeva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leontyeva
Context triple: [Anna Leontyevna Leontyeva, familyName, Leontyeva]
  • A. Leontyevich
    Leontyevich is a Russian patronymic name derived from the male given name Leonty, traditionally indicating "son of Leonty."
  • B. 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.
  • C. Lukyanova
    Lukyanova is a Russian feminine surname derived from the masculine form Lukyanov.
  • D. Govardeyskaya
    Govardeyskaya is a Moscow Metro station on the Kalininsko–Solntsevskaya line.
  • E. Vasilyeva
    Vasilyeva is a common Russian surname, typically the feminine form of Vasilyev, derived from the given name Vasily.
  • 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: Leontyeva
Triple: [Anna Leontyevna Leontyeva, familyName, Leontyeva]
Generated description
Leontyeva is a Russian surname, typically the feminine form of Leontyev, borne by individuals such as Anna Leontyevna Leontyeva.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Leontyeva
Target entity description: Leontyeva is a Russian surname, typically the feminine form of Leontyev, borne by individuals such as Anna Leontyevna Leontyeva.
  • A. Leontyevich
    Leontyevich is a Russian patronymic name derived from the male given name Leonty, traditionally indicating "son of Leonty."
  • B. 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.
  • C. Lukyanova
    Lukyanova is a Russian feminine surname derived from the masculine form Lukyanov.
  • D. Govardeyskaya
    Govardeyskaya is a Moscow Metro station on the Kalininsko–Solntsevskaya line.
  • E. Vasilyeva
    Vasilyeva is a common Russian surname, typically the feminine form of Vasilyev, derived from the given name Vasily.
  • 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_69d7bdfa933c8190b5a27aa4a08a19b7 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d971ec72a48190aceef10630603d2c completed April 10, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af687f548190b70ac8fa9bbbd414 completed May 3, 2026, 2:14 a.m.
NEDg Description generation batch_69f6b115720481908796955032043530 completed May 3, 2026, 2:21 a.m.
NED2 Entity disambiguation (via description) batch_69f6b1ea3d288190875888be8356da48 completed May 3, 2026, 2:24 a.m.
Created at: April 9, 2026, 5:42 p.m.