Triple

T15649182
Position Surface form Disambiguated ID Type / Status
Subject Jan Anne Beijerinck van Lijnden E376260 entity
Predicate givenName P17 FINISHED
Object Anne
Anne is a person whose given name is associated with Jan Anne Beijerinck van Lijnden, likely a Dutch individual bearing this traditional name.
E267026 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: Anne | Statement: [Jan Anne Beijerinck van Lijnden, givenName, Anne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anne
Context triple: [Jan Anne Beijerinck van Lijnden, givenName, Anne]
  • A. Anne
    Anne is the birth name of Nancy Reagan, the former First Lady of the United States and wife of President Ronald Reagan.
  • B. Anne
    Anne is the protagonist of "The Darkest Hour," around whom the film’s central conflict and emotional journey revolve.
  • C. Anne
    Anne was the ship on which the 17th-century English sailor and later Ceylon captive Robert Knox served during his voyages.
  • D. Anne
    Anne of Palatinate-Simmern was a 16th-century German noblewoman from the House of Wittelsbach who became Electress Palatine through marriage to Elector Frederick III.
  • E. Anne
    Anne is a given name used by Princess Marianne of Prussia, a 19th-century Prussian royal.
  • 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: Anne
Triple: [Jan Anne Beijerinck van Lijnden, givenName, Anne]
Generated description
Anne is a person whose given name is associated with Jan Anne Beijerinck van Lijnden, likely a Dutch individual bearing this traditional name.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Anne
Target entity description: Anne is a person whose given name is associated with Jan Anne Beijerinck van Lijnden, likely a Dutch individual bearing this traditional name.
  • A. Anne chosen
    Anne is a female given name of Hebrew origin, commonly used in many European languages and historically borne by numerous queens, saints, and notable women.
  • B. Anne
    Anne is the given name of Anne Morrow Lindbergh, the American author and aviator who was married to famed aviator Charles Lindbergh.
  • C. Anne
    Anne is the given name of Anne Hilarion de Costentin de Tourville, a renowned French naval commander of the late 17th and early 18th centuries.
  • D. Anne
    Anne is a given name used by Princess Marianne of Prussia, a 19th-century Prussian royal.
  • E. Anne
    Anne is the given name of Lady Lucy Anne FitzGerald, an Irish noblewoman of the late 18th and early 19th centuries known for her connections to the United Irishmen movement.
  • 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.