Triple

T7412233
Position Surface form Disambiguated ID Type / Status
Subject Kiril Moskalenko E171033 entity
Predicate familyName P18 FINISHED
Object Moskalenko E171033 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: Moskalenko | Statement: [Kiril Moskalenko, familyName, Moskalenko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moskalenko
Context triple: [Kiril Moskalenko, familyName, Moskalenko]
  • A. Kiril Moskalenko chosen
    Kiril Moskalenko was a prominent Soviet military commander and Marshal of the Soviet Union who played key roles in major Eastern Front operations during World War II.
  • B. Moskovitch
    Moskovitch is a surname, likely of Eastern European or Jewish origin, used as a variant spelling of "Moskovitz."
  • C. Muratov
    Muratov is a Russian surname most prominently associated with Dmitry Muratov, the Nobel Peace Prize–winning journalist and editor-in-chief of the independent newspaper Novaya Gazeta.
  • D. Konstantin Moskalenko
    Konstantin Moskalenko was a Soviet military commander and general who played a significant role in Red Army operations during World War II.
  • E. Medvedenko
    Medvedenko is a poor, lovesick schoolteacher in Anton Chekhov’s play "The Seagull," whose unrequited love for Masha highlights the play’s themes of longing and dissatisfaction.
  • 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_69c68a618bdc81908d8018edadecd1a4 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f2a027148190bdb6a7940389e377 completed March 27, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8112960d48190a9947146e62daa13 completed March 28, 2026, 5:34 p.m.
Created at: March 27, 2026, 3:11 p.m.