Triple

T15065909
Position Surface form Disambiguated ID Type / Status
Subject Marnix van Rij E379754 entity
Predicate givenName P17 FINISHED
Object Marnix
Marnix is a Dutch masculine given name commonly used in the Netherlands and Belgium.
E1134633 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: Marnix | Statement: [Marnix van Rij, givenName, Marnix]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marnix
Context triple: [Marnix van Rij, givenName, Marnix]
  • A. Dirck
    Dirck is a Dutch masculine given name historically borne by several notable figures, including artists of the Dutch Golden Age.
  • B. Aeltge Velthuys
    Aeltge Velthuys was the wife of Dutch Golden Age painter Carel Fabritius, known primarily through her connection to the artist.
  • C. Adriaan
    Adriaan is a masculine given name of Dutch origin commonly used in the Netherlands and other Dutch-speaking regions.
  • D. Maarten
    Maarten is a Dutch masculine given name, historically borne by notable figures such as the 17th-century admiral Maarten Tromp.
  • E. Willem Arondeus
    Willem Arondeus was a Dutch artist and openly gay resistance fighter during World War II, best known for his role in the 1943 attack on Amsterdam’s population registry to hinder Nazi persecution of Jews.
  • 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: Marnix
Triple: [Marnix van Rij, givenName, Marnix]
Generated description
Marnix is a Dutch masculine given name commonly used in the Netherlands and Belgium.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Marnix
Target entity description: Marnix is a Dutch masculine given name commonly used in the Netherlands and Belgium.
  • A. Dirck
    Dirck is a Dutch masculine given name historically borne by several notable figures, including artists of the Dutch Golden Age.
  • B. Aeltge Velthuys
    Aeltge Velthuys was the wife of Dutch Golden Age painter Carel Fabritius, known primarily through her connection to the artist.
  • C. Adriaan
    Adriaan is a masculine given name of Dutch origin commonly used in the Netherlands and other Dutch-speaking regions.
  • D. Maarten
    Maarten is a Dutch masculine given name, historically borne by notable figures such as the 17th-century admiral Maarten Tromp.
  • E. Willem Arondeus
    Willem Arondeus was a Dutch artist and openly gay resistance fighter during World War II, best known for his role in the 1943 attack on Amsterdam’s population registry to hinder Nazi persecution of Jews.
  • 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_69d85cd7683881908d405c1b5d7b4f7f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dedeea750c819082d8823c9ab6c5a2 completed April 15, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69fea5cb04e88190a42bb0e516df61bc completed May 9, 2026, 3:11 a.m.
NEDg Description generation batch_69fea66a04988190b483210c1671d287 completed May 9, 2026, 3:13 a.m.
NED2 Entity disambiguation (via description) batch_69fea70e2fbc81908f168925b06bdbd6 completed May 9, 2026, 3:16 a.m.
Created at: April 10, 2026, 3:02 a.m.