Triple

T2408306
Position Surface form Disambiguated ID Type / Status
Subject Felix E50326 entity
Predicate hasVariant P455 FINISHED
Object Feliks
Feliks is a given name, commonly used in Slavic and other European languages, that corresponds to the name Felix.
 E262438 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: Feliks | Statement: [Felix, hasVariant, Feliks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Feliks
Context triple: [Felix, hasVariant, Feliks]
  • A. Ignacy
    Ignacy is a masculine given name of Polish origin, historically borne by several notable figures including scientists, politicians, and religious leaders.
  • B. Wiktor
    Wiktor is a masculine given name, primarily used in Slavic countries, that corresponds to the name Victor.
  • C. Józef
    Józef is a masculine given name of Hebrew origin, widely used in Poland and other Slavic countries as a form of Joseph.
  • D. Oskar
    Oskar is a masculine given name of Germanic origin, commonly used in various European countries.
  • E. Karol
    Karol is the given name of Pope John Paul II, the Polish-born head of the Catholic Church from 1978 to 2005.
  • 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: Feliks
Triple: [Felix, hasVariant, Feliks]
Generated description
Feliks is a given name, commonly used in Slavic and other European languages, that corresponds to the name Felix.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Feliks
Target entity description: Feliks is a given name, commonly used in Slavic and other European languages, that corresponds to the name Felix.
  • A. Ignacy
    Ignacy is a masculine given name of Polish origin, historically borne by several notable figures including scientists, politicians, and religious leaders.
  • B. Wiktor
    Wiktor is a masculine given name, primarily used in Slavic countries, that corresponds to the name Victor.
  • C. Józef
    Józef is a masculine given name of Hebrew origin, widely used in Poland and other Slavic countries as a form of Joseph.
  • D. Oskar
    Oskar is a masculine given name of Germanic origin, commonly used in various European countries.
  • E. Karol
    Karol is the given name of Pope John Paul II, the Polish-born head of the Catholic Church from 1978 to 2005.
  • 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_69a88b0339a88190a1207333cd271cc9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc92408308190ad2d331ebee71d15 completed March 7, 2026, 6:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3eba9d08190a2c63e590e08b4df completed March 9, 2026, 11:50 a.m.
NEDg Description generation batch_69aeb4a5e9c481908426fe51343a1342 completed March 9, 2026, 11:53 a.m.
NED2 Entity disambiguation (via description) batch_69aeb52bec1881909c589aea2af3684c completed March 9, 2026, 11:55 a.m.
Created at: March 4, 2026, 7:58 p.m.