Triple

T596708
Position Surface form Disambiguated ID Type / Status
Subject Levi E11399 entity
Predicate hasVariant P455 FINISHED
Object Levy
Levy is a variant spelling of the name Levi, commonly used as a Jewish surname and sometimes as a given name.
 E75258 NE FINISHED

How this triple was built (4 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: Levy | Statement: [Levi, hasVariant, Levy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Levy
Context triple: [Levi, hasVariant, Levy]
  • A. Lev
    Lev is the Russian given name of the renowned writer Leo Tolstoy, under which he was known in his native language.
  • B. Blaustein
    Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
  • C. Helvering
    Helvering is a surname most notably associated with Guy T. Helvering, a prominent American politician and former Commissioner of Internal Revenue.
  • D. Löwenthal
    Löwenthal is the maiden surname of Elsa Einstein, who was both the second wife and cousin of physicist Albert Einstein.
  • E. Lewis
    "Lewis" is a notable film or television work featuring British actor Edward Fox, recognized as part of his distinguished acting career.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Levy
Triple: [Levi, hasVariant, Levy]
Generated description
Levy is a variant spelling of the name Levi, commonly used as a Jewish surname and sometimes as a given name.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Levy
Target entity description: Levy is a variant spelling of the name Levi, commonly used as a Jewish surname and sometimes as a given name.
  • A. Lev
    Lev is the Russian given name of the renowned writer Leo Tolstoy, under which he was known in his native language.
  • B. Blaustein
    Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
  • C. Helvering
    Helvering is a surname most notably associated with Guy T. Helvering, a prominent American politician and former Commissioner of Internal Revenue.
  • D. Löwenthal
    Löwenthal is the maiden surname of Elsa Einstein, who was both the second wife and cousin of physicist Albert Einstein.
  • E. Lewis
    "Lewis" is a notable film or television work featuring British actor Edward Fox, recognized as part of his distinguished acting career.
  • F. None of above. chosen

Provenance (5 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_69a4932779b881908688590d59c71900 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49d2b98d08190a1c1e8659efdfd75 completed March 1, 2026, 8:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5216e11248190a8c564a482d649a6 completed March 2, 2026, 5:34 a.m.
NEDg Description generation batch_69a521ce19e08190aadeb913977c2d2e completed March 2, 2026, 5:36 a.m.
NED2 Entity disambiguation (via description) batch_69a5226144f881908e0d1add6be6e156 completed March 2, 2026, 5:38 a.m.
Created at: March 1, 2026, 7:35 p.m.