Triple

T1478697
Position Surface form Disambiguated ID Type / Status
Subject Peter Kapitza E30900 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: [Peter Kapitza, awardReceived, Lenin Prize]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lenin Prize
Context triple: [Peter Kapitza, 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. Pushkin Prize
    The Pushkin Prize is a prestigious Russian literary award historically given for outstanding contributions to literature, notably received by authors such as Fyodor Dostoevsky.
  • 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_69a498fe55a88190ab7f9e40ace88e49 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c6739d2481909ea8d8e075f62cf3 completed March 1, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad1ca21f288190b5f6f9a5895cdcf0 completed March 8, 2026, 6:52 a.m.
Created at: March 1, 2026, 8:11 p.m.