Triple

T8616917
Position Surface form Disambiguated ID Type / Status
Subject Jan Björklund E204061 entity
Predicate givenName P17 FINISHED
Object Jan
Jan is a common Scandinavian given name, particularly prevalent in Sweden and Norway, typically used as a masculine first name.
 E746715 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 Björklund, givenName, Jan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jan
Context triple: [Jan Björklund, givenName, 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 a fictional character appearing in the Traveling Wilburys’ song “Tweeter and the Monkey Man,” which tells a noir-style crime story.
  • D. 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.
  • 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 Björklund, givenName, Jan]
Generated description
Jan is a common Scandinavian given name, particularly prevalent in Sweden and Norway, typically used as a masculine first name.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jan
Target entity description: Jan is a common Scandinavian given name, particularly prevalent in Sweden and Norway, typically used as a masculine first name.
  • A. 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.
  • B. Jan
    Jan is a common Czech given name, equivalent to "John" in English.
  • C. Jan
    Jan is the Dutch given name of Jan Peter Balkenende, the former Prime Minister of the Netherlands.
  • D. Jan
    Jan is the given name of the Dutch mathematician and philosopher Luitzen Egbertus Jan Brouwer, a founder of intuitionism in the foundations of mathematics.
  • E. Jan
    Jan is an alternative romanization of the name Zhan, used to represent the same underlying name in different transliteration systems.
  • 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_69ca832ceab8819096e4a9f546695079 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc4711c7748190af26ff5a78ef66a2 completed March 31, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebbc1d8a08190bbcf7c4cef0fe04d completed April 2, 2026, 6:56 p.m.
NEDg Description generation batch_69cebcc22d208190801b4ec58614dfcb completed April 2, 2026, 7 p.m.
NED2 Entity disambiguation (via description) batch_69cebdf3f288819088d83165c741d092 completed April 2, 2026, 7:05 p.m.
Created at: March 30, 2026, 6:25 p.m.