Triple

T23507754
Position Surface form Disambiguated ID Type / Status
Subject Leonid Levin E572330 entity
Predicate notableFor P22 FINISHED
Object Levin search — NE NERFINISHED

How this triple was built (3 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: Levin search | Statement: [Leonid Levin, notableFor, Levin search]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Levin search
Context triple: [Leonid Levin, notableFor, Levin search]
  • A. Boyer–Moore string-search algorithm
    The Boyer–Moore string-search algorithm is a highly efficient pattern-matching algorithm that scans text from right to left and uses precomputed shift rules to skip sections of the text, making it one of the fastest practical algorithms for substring search.
  • B. Generalized Search Tree
    Generalized Search Tree is a flexible, balanced tree data structure framework that supports building custom index types for complex data and queries, often used in database systems.
  • C. Hirschberg
    Hirschberg is the former German name for the city now known as Jelenia Góra in southwestern Poland, a historic town in the Lower Silesia region.
  • D. Hirschberg
    Hirschberg is a hill in Germany’s Siebengebirge range, known for its forested slopes and hiking trails within this volcanic low-mountain landscape.
  • E. SeARCH
    SeARCH is a Dutch architecture and urban design firm known for its innovative, context-sensitive projects that often integrate buildings seamlessly into their natural surroundings.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Levin search
Target entity description: Levin search is a theoretical algorithmic search method in computer science that systematically explores all possible programs in a time-bounded way to find solutions efficiently up to a constant factor.
  • A. Boyer–Moore string-search algorithm
    The Boyer–Moore string-search algorithm is a highly efficient pattern-matching algorithm that scans text from right to left and uses precomputed shift rules to skip sections of the text, making it one of the fastest practical algorithms for substring search.
  • B. Generalized Search Tree
    Generalized Search Tree is a flexible, balanced tree data structure framework that supports building custom index types for complex data and queries, often used in database systems.
  • C. Hirschberg
    Hirschberg is the former German name for the city now known as Jelenia Góra in southwestern Poland, a historic town in the Lower Silesia region.
  • D. Hirschberg
    Hirschberg is a hill in Germany’s Siebengebirge range, known for its forested slopes and hiking trails within this volcanic low-mountain landscape.
  • E. SeARCH
    SeARCH is a Dutch architecture and urban design firm known for its innovative, context-sensitive projects that often integrate buildings seamlessly into their natural surroundings.
  • F. None of above. chosen

Provenance (2 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_69e245b5e4208190bac8a6509867e394 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a901c9908190a781e79fe8b96743 completed April 29, 2026, 6:45 a.m.
Created at: April 17, 2026, 6:07 p.m.