Triple

T2791040
Position Surface form Disambiguated ID Type / Status
Subject Henryk Sucharski E61928 entity
Predicate givenName P17 FINISHED
Object Henryk
Henryk is a masculine given name of Germanic origin commonly used in Poland and other Central and Eastern European countries.
 E298594 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: Henryk | Statement: [Henryk Sucharski, givenName, Henryk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Henryk
Context triple: [Henryk Sucharski, givenName, Henryk]
  • A. Ludwik
    Ludwik is a given name, primarily used in Polish, that corresponds to the name Ludwig in other European languages.
  • B. Wiktor
    Wiktor is a masculine given name, primarily used in Slavic countries, that corresponds to the name Victor.
  • C. Tadeusz
    Tadeusz is a masculine given name of Slavic origin, particularly common in Poland.
  • D. Feliks
    Feliks is a given name, commonly used in Slavic and other European languages, that corresponds to the name Felix.
  • E. Józef
    Józef is a masculine given name of Hebrew origin, widely used in Poland and other Slavic countries as a form of Joseph.
  • 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: Henryk
Triple: [Henryk Sucharski, givenName, Henryk]
Generated description
Henryk is a masculine given name of Germanic origin commonly used in Poland and other Central and Eastern European countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Henryk
Target entity description: Henryk is a masculine given name of Germanic origin commonly used in Poland and other Central and Eastern European countries.
  • A. Ludwik
    Ludwik is a given name, primarily used in Polish, that corresponds to the name Ludwig in other European languages.
  • B. Wiktor
    Wiktor is a masculine given name, primarily used in Slavic countries, that corresponds to the name Victor.
  • C. Tadeusz
    Tadeusz is a masculine given name of Slavic origin, particularly common in Poland.
  • D. Feliks
    Feliks is a given name, commonly used in Slavic and other European languages, that corresponds to the name Felix.
  • E. Józef
    Józef is a masculine given name of Hebrew origin, widely used in Poland and other Slavic countries as a form of Joseph.
  • 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_69ab4b7f51d881908768300ebd2fbdae completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abddcfe19c81908f94dd449f18a2c2 completed March 7, 2026, 8:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc65c1f848190b6efeefb64a3e131 completed March 10, 2026, 7:21 a.m.
NEDg Description generation batch_69afc6e6d4bc81908108fe24677448c3 completed March 10, 2026, 7:23 a.m.
NED2 Entity disambiguation (via description) batch_69afc7907be88190b70458ed735261e8 completed March 10, 2026, 7:26 a.m.
Created at: March 6, 2026, 9:58 p.m.