Triple

T612691
Position Surface form Disambiguated ID Type / Status
Subject Ivan Susloparov E12133 entity
Predicate givenName P17 FINISHED
Object Ivan
Ivan is a common Slavic male given name widely used in Russia and other Eastern European countries, equivalent to "John" in English.
 E157814 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: Ivan | Statement: [Ivan Susloparov, givenName, Ivan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ivan
Context triple: [Ivan Susloparov, givenName, Ivan]
  • A. Vasily
    Vasily is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • B. Pyotr
    Pyotr is the Russian given name of Peter Kropotkin, the influential 19th-century anarchist philosopher, geographer, and revolutionary.
  • C. Viktor
    Viktor is the given name of Viktor Frankl, the Austrian neurologist, psychiatrist, and Holocaust survivor who founded logotherapy and wrote "Man’s Search for Meaning."
  • D. Gavril
    Gavril is a masculine given name, commonly used in Slavic and Eastern European cultures, that derives from the Hebrew name Gabriel.
  • E. Andrei
    Andrei is a masculine given name commonly used in Slavic and Eastern European countries, equivalent to the English name Andrew.
  • 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: Ivan
Triple: [Ivan Susloparov, givenName, Ivan]
Generated description
Ivan is a common Slavic male given name widely used in Russia and other Eastern European countries, equivalent to "John" in English.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ivan
Target entity description: Ivan is a common Slavic male given name widely used in Russia and other Eastern European countries, equivalent to "John" in English.
  • A. Vasily
    Vasily is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • B. Pyotr
    Pyotr is the Russian given name of Peter Kropotkin, the influential 19th-century anarchist philosopher, geographer, and revolutionary.
  • C. Viktor
    Viktor is the given name of Viktor Frankl, the Austrian neurologist, psychiatrist, and Holocaust survivor who founded logotherapy and wrote "Man’s Search for Meaning."
  • D. Gavril
    Gavril is a masculine given name, commonly used in Slavic and Eastern European cultures, that derives from the Hebrew name Gabriel.
  • E. Andrei
    Andrei is a masculine given name commonly used in Slavic and Eastern European countries, equivalent to the English name Andrew.
  • 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_69a493309df48190a327f748e88049a6 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49e08dbf88190ab050078a63e266b completed March 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69acd46422408190911e6eaec5866fe8 completed March 8, 2026, 1:44 a.m.
NEDg Description generation batch_69acd4fade9881908ed8e4598f4821f6 completed March 8, 2026, 1:46 a.m.
NED2 Entity disambiguation (via description) batch_69acd55b90608190a5ff734af6264ab5 completed March 8, 2026, 1:48 a.m.
Created at: March 1, 2026, 7:35 p.m.