Triple

T7666067
Position Surface form Disambiguated ID Type / Status
Subject NP-completeness E173625 entity
Predicate introducedBy P513 FINISHED
Object Leonid Levin E572330 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: Leonid Levin | Statement: [NP-completeness, introducedBy, Leonid Levin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leonid Levin
Context triple: [NP-completeness, introducedBy, Leonid Levin]
  • A. Leonid Levin chosen
    Leonid Levin is a Soviet-American computer scientist known as a co-founder of complexity theory and for independently formulating the P versus NP problem.
  • B. Lev Shlosberg
    Lev Shlosberg is a Russian liberal politician, journalist, and human rights advocate known for his opposition to the Kremlin and his work within the Yabloko party.
  • C. Evgeny Lifshitz
    Evgeny Lifshitz was a Soviet theoretical physicist best known for co-authoring the influential multi-volume "Course of Theoretical Physics" and for his contributions to general relativity and cosmology.
  • D. Evgeny Levinson
    Evgeny Levinson was a Soviet architect known for designing significant memorial and monumental complexes, particularly in Leningrad (now Saint Petersburg).
  • E. Yurii Rubinsky
    Yurii Rubinsky was a pioneering Canadian technologist, publisher, and early advocate of SGML and open digital standards who significantly influenced the development of electronic publishing.
  • 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_69c699562484819086752091e3164a27 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701c1383c8190ab5bf803bd6211a9 completed March 27, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89b1fdccc8190a69b4745dc3b2347 completed March 29, 2026, 3:23 a.m.
Created at: March 27, 2026, 4 p.m.