Triple

T19185869
Position Surface form Disambiguated ID Type / Status
Subject Jan Bytnar E469699 entity
Predicate hasGivenName P17 FINISHED
Object Jan
Jan is a common masculine given name used in many European countries, often equivalent to "John" in English.
E866857 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: Jan | Statement: [Jan Bytnar, hasGivenName, Jan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jan
Context triple: [Jan Bytnar, hasGivenName, Jan]
  • A. Jan
    Jan is the Dutch given name of Jan Peter Balkenende, the former Prime Minister of the Netherlands.
  • B. Jan
    Jan is an alternative romanization of the name Zhan, used to represent the same underlying name in different transliteration systems.
  • C. Jan
    Jan is one of the central comic characters in Alan Ayckbourn’s stage play "Bedroom Farce," involved in the interwoven marital mishaps that drive the farcical plot.
  • D. Jan
    Jan is a common Dutch given name, often used as a masculine form of "John" and borne by many notable figures in the Netherlands and other Dutch-speaking regions.
  • E. Jan
    Jan is the protagonist of the science fiction work "Red Shift," around whom the central narrative and its key events revolve.
  • 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: Jan
Triple: [Jan Bytnar, hasGivenName, Jan]
Generated description
Jan is a common masculine given name used in many European countries, often equivalent to "John" in English.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jan
Target entity description: Jan is a common masculine given name used in many European countries, often equivalent to "John" in English.
  • A. Jan chosen
    Jan is a common given name used in many countries, often as a variant of John or Johannes.
  • B. Jan
    Jan is a common Dutch given name, often used as a masculine form of "John" and borne by many notable figures in the Netherlands and other Dutch-speaking regions.
  • C. Jan
    Jan is a common Scandinavian given name, particularly prevalent in Sweden and Norway, typically used as a masculine first name.
  • D. Jan
    Jan is a common Czech given name, equivalent to "John" in English.
  • E. Jan
    Jan is a feminine given name used in various cultures, often as a form of Johanna or Jane.
  • 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_69d8dd0ad9088190a173b32657ae2e7a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f6202b3881908b34ec4921fb90ca completed April 20, 2026, 9:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a06f8b818b481908c27575369db40b2 completed May 15, 2026, 10:43 a.m.
NEDg Description generation batch_6a06f987d3e88190ade6412afd3e1426 completed May 15, 2026, 10:46 a.m.
NED2 Entity disambiguation (via description) batch_6a06fa6c6e5481909beb3a33517264f3 completed May 15, 2026, 10:50 a.m.
Created at: April 10, 2026, 12:07 p.m.