Triple

T15649181
Position Surface form Disambiguated ID Type / Status
Subject Jan Anne Beijerinck van Lijnden E376260 entity
Predicate givenName P17 FINISHED
Object Jan
Jan is a Dutch given name commonly used as a masculine first name in the Netherlands and other parts of Europe.
E463572 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 Anne Beijerinck van Lijnden, givenName, Jan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jan
Context triple: [Jan Anne Beijerinck van Lijnden, givenName, Jan]
  • A. 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.
  • B. Jan
    Jan is a fictional young soldier and one of the core members of DC Comics' World War II-era kid commando team, the Boy Commandos.
  • C. Jan
    Jan is the main character of the work "The Misunderstanding," around whom the story’s central conflicts and themes revolve.
  • D. Jan
    Jan is the Dutch given name of Jan Peter Balkenende, the former Prime Minister of the Netherlands.
  • 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
  • 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 Anne Beijerinck van Lijnden, givenName, Jan]
Generated description
Jan is a Dutch given name commonly used as a masculine first name in the Netherlands and other parts of Europe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jan
Target entity description: Jan is a Dutch given name commonly used as a masculine first name in the Netherlands and other parts of Europe.
  • A. Jan chosen
    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 Scandinavian given name, particularly prevalent in Sweden and Norway, typically used as a masculine first name.
  • C. Jan
    Jan is a common given name used in many countries, often as a variant of John or Johannes.
  • D. Jan
    Jan is the Dutch given name of Jan Peter Balkenende, the former Prime Minister of the Netherlands.
  • E. Jan
    Jan is a common Czech given name, equivalent to "John" in English.
  • 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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ed7212c8190be6ff76afa25f7ca completed April 16, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff67957ebc8190b187f557bd01d58d completed May 9, 2026, 4:57 p.m.
NEDg Description generation batch_69ff68af38848190975e374b2c8c917b completed May 9, 2026, 5:02 p.m.
NED2 Entity disambiguation (via description) batch_69ff69660b6c819082dbdf06db1c8fe3 completed May 9, 2026, 5:05 p.m.
Created at: April 10, 2026, 4:15 a.m.