Triple

T495515
Position Surface form Disambiguated ID Type / Status
Subject Sergei Korolev E10283 entity
Predicate awardReceived P11 FINISHED
Object Lenin Prize E59667 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: Lenin Prize | Statement: [Sergei Korolev, awardReceived, Lenin Prize]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lenin Prize
Context triple: [Sergei Korolev, awardReceived, Lenin Prize]
  • A. Lenin Prize chosen
    The Lenin Prize was one of the highest civilian awards in the Soviet Union, granted for outstanding achievements in science, literature, arts, architecture, and technology.
  • B. Stalin Prize
    The Stalin Prize was a prestigious Soviet state award given for outstanding achievements in fields such as science, engineering, literature, and the arts.
  • C. Lenin Peace Prize
    The Lenin Peace Prize was a Soviet-era international award given to prominent individuals worldwide for their contributions to peace and anti-imperialist solidarity.
  • D. Lomonosov Gold Medal
    The Lomonosov Gold Medal is the highest scientific award of the Russian Academy of Sciences, given for outstanding achievements in the natural and social sciences.
  • E. Lobachevsky Prize
    The Lobachevsky Prize is a prestigious international mathematics award, particularly associated with achievements in geometry and related fields.
  • 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_69a2e847df8481909239ec08ccf1e376 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f115334881908ac5ab96c7f4214e completed Feb. 28, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69a47d2da4488190be3146538a4f3d46 completed March 1, 2026, 5:53 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.