Triple

T9240190
Position Surface form Disambiguated ID Type / Status
Subject Matvey Manizer E222037 entity
Predicate givenName P17 FINISHED
Object Matvey
Matvey is a masculine given name of Slavic origin, commonly used in Russian-speaking countries and equivalent to the name Matthew.
E787763 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: Matvey | Statement: [Matvey Manizer, givenName, Matvey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matvey
Context triple: [Matvey Manizer, givenName, Matvey]
  • A. Alexey
    Alexey is a masculine given name of Slavic origin, commonly used in Russian-speaking countries and derived from the Greek name Alexios, meaning "defender" or "helper."
  • B. Kolya
    Kolya is a charismatic, roguish young Russian soldier in David Benioff’s novel "City of Thieves," known for his wit, bravado, and unlikely friendship with the protagonist during the Siege of Leningrad.
  • C. Mikhail
    Mikhail is a common Russian male given name, famously borne by Soviet leader Mikhail Gorbachev.
  • D. Pavel
    Pavel is a Slavic given name, equivalent to the English name Paul.
  • E. Vova
    Vova is a common Russian diminutive form of the male given name Vladimir.
  • 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: Matvey
Triple: [Matvey Manizer, givenName, Matvey]
Generated description
Matvey is a masculine given name of Slavic origin, commonly used in Russian-speaking countries and equivalent to the name Matthew.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Matvey
Target entity description: Matvey is a masculine given name of Slavic origin, commonly used in Russian-speaking countries and equivalent to the name Matthew.
  • A. Alexey
    Alexey is a masculine given name of Slavic origin, commonly used in Russian-speaking countries and derived from the Greek name Alexios, meaning "defender" or "helper."
  • B. Kolya
    Kolya is a charismatic, roguish young Russian soldier in David Benioff’s novel "City of Thieves," known for his wit, bravado, and unlikely friendship with the protagonist during the Siege of Leningrad.
  • C. Mikhail
    Mikhail is a common Russian male given name, famously borne by Soviet leader Mikhail Gorbachev.
  • D. Pavel
    Pavel is a Slavic given name, equivalent to the English name Paul.
  • E. Vova
    Vova is a common Russian diminutive form of the male given name Vladimir.
  • 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_69ca83ee26cc81909ac624e190597d6d completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccf0a3888c8190b72d8d0b850bdfbc completed April 1, 2026, 10:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09bc043ec81909393e8af03ab0117 completed April 4, 2026, 5:04 a.m.
NEDg Description generation batch_69d09cc5cdd481908903ae0e49c1085d completed April 4, 2026, 5:08 a.m.
NED2 Entity disambiguation (via description) batch_69d09d7364b48190ad3dd55711bd2534 completed April 4, 2026, 5:11 a.m.
Created at: March 30, 2026, 7:30 p.m.