Triple

T8847782
Position Surface form Disambiguated ID Type / Status
Subject Alexandra Danilova E210550 entity
Predicate familyName P18 FINISHED
Object Danilova E210550 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: Danilova | Statement: [Alexandra Danilova, familyName, Danilova]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danilova
Context triple: [Alexandra Danilova, familyName, Danilova]
  • A. Danilova chosen
    Danilova is a Russian surname most famously associated with Alexandra Danilova, a celebrated 20th-century ballerina and influential ballet teacher.
  • B. Danilovna
    Danilovna is a Russian patronymic suffix used for women, indicating "daughter of Danil" or "daughter of Daniel."
  • C. 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.
  • D. Zaitseva
    Zaitseva is a common Russian feminine surname derived from the masculine form Zaitsev.
  • E. Vasilyeva
    Vasilyeva is a common Russian surname, typically the feminine form of Vasilyev, derived from the given name Vasily.
  • 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_69ca838967bc8190b46c3c80a2887ea4 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60a9194c8190bdfefc55a8fb29a3 completed April 1, 2026, 12:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfab821e808190a918bf787cde54b6 completed April 3, 2026, 11:58 a.m.
Created at: March 30, 2026, 6:49 p.m.