Triple

T4564143
Position Surface form Disambiguated ID Type / Status
Subject Denys Shmyhal E121867 entity
Predicate givenName P17 FINISHED
Object Denys
Denys is a masculine given name commonly used in Ukrainian and other Slavic cultures, equivalent to the name Denis.
 E74174 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: Denys | Statement: [Denys Shmyhal, givenName, Denys]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Denys
Context triple: [Denys Shmyhal, givenName, Denys]
  • A. Denis
    Denis is a masculine given name of French origin, famously borne by the Enlightenment philosopher Denis Diderot.
  • B. Denis
    Denis was a key member of Les Nabis, a late 19th-century group of avant-garde French artists who helped pioneer Symbolism and modernist painting.
  • C. Denzil
    Denzil is a masculine given name of English origin, historically associated with several notable British politicians and public figures.
  • D. Durkan
    Durkan is a surname most notably associated with Jenny Durkan, the former mayor of Seattle and an American attorney and politician.
  • E. Grigor
    Grigor is a given name, commonly used in various Eastern European and Caucasian cultures, that corresponds to the English name Gregory.
  • 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: Denys
Triple: [Denys Shmyhal, givenName, Denys]
Generated description
Denys is a masculine given name commonly used in Ukrainian and other Slavic cultures, equivalent to the name Denis.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Denys
Target entity description: Denys is a masculine given name commonly used in Ukrainian and other Slavic cultures, equivalent to the name Denis.
  • A. Denis chosen
    Denis is a masculine given name of French origin, famously borne by the Enlightenment philosopher Denis Diderot.
  • B. Denis
    Denis was a key member of Les Nabis, a late 19th-century group of avant-garde French artists who helped pioneer Symbolism and modernist painting.
  • C. Denzil
    Denzil is a masculine given name of English origin, historically associated with several notable British politicians and public figures.
  • D. Durkan
    Durkan is a surname most notably associated with Jenny Durkan, the former mayor of Seattle and an American attorney and politician.
  • E. Grigor
    Grigor is a given name, commonly used in various Eastern European and Caucasian cultures, that corresponds to the English name Gregory.
  • F. None of above.

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_69bd463f156881908a99aca69c5721ac completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd589b439c81908da9d19433310bcd completed March 20, 2026, 2:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdc5a8ea5481908a652290e9df911f completed March 20, 2026, 10:09 p.m.
NEDg Description generation batch_69bdc93a17548190b7ee841b25f7ad13 completed March 20, 2026, 10:24 p.m.
NED2 Entity disambiguation (via description) batch_69bdc9b4f9ac8190ae15c6445748a66e completed March 20, 2026, 10:27 p.m.
Created at: March 20, 2026, 1:09 p.m.