Triple

T10108128
Position Surface form Disambiguated ID Type / Status
Subject Union of Soviet Writers E218174 entity
Predicate hasMember P10 FINISHED
Object Samuil Marshak E222356 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: Samuil Marshak | Statement: [Union of Soviet Writers, hasMember, Samuil Marshak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samuil Marshak
Context triple: [Union of Soviet Writers, hasMember, Samuil Marshak]
  • A. Samuil Marshak chosen
    Samuil Marshak was a prominent Soviet poet, translator, and children's author whose works became classics of Russian-language literature.
  • B. Korney Chukovsky
    Korney Chukovsky was a prominent Soviet and Russian writer, translator, and literary critic best known for his classic children's poetry and fairy tales.
  • C. Georgy Adamovich
    Georgy Adamovich was a prominent Russian poet, literary critic, and leading figure of the Russian émigré literary community in the 20th century.
  • D. Viktor Mayevsky
    Viktor Mayevsky was a Soviet diplomat who served as an ambassador representing the interests of the USSR abroad.
  • E. Sergey Mikhalkov
    Sergey Mikhalkov was a prominent Soviet and Russian writer best known for authoring the lyrics to multiple versions of the Soviet and later Russian national anthems.
  • 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_69ca83da93fc8190b54e44bc2b34857c completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cdd0ca7f7c8190ba7ed37940aa933d completed April 2, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e59ec83c8190a79fbb0d0de90310 completed April 5, 2026, 10:43 p.m.
Created at: March 30, 2026, 9:03 p.m.