Triple

T3891897
Position Surface form Disambiguated ID Type / Status
Subject Jozias van Aartsen E88080 entity
Predicate givenName P17 FINISHED
Object Jozias
Jozias is a Dutch politician best known for serving as Minister of Foreign Affairs and later as Mayor of The Hague.
 E397459 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: Jozias | Statement: [Jozias van Aartsen, givenName, Jozias]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jozias
Context triple: [Jozias van Aartsen, givenName, Jozias]
  • A. Jacobus
    Jacobus is the given name of Koos de la Rey, a prominent Boer general and political figure in South African history.
  • B. Johannes
    Johannes is the given first name of Paul Kruger, the prominent 19th-century Boer leader and president of the South African Republic.
  • C. Gerhardus
    Gerhardus is a masculine given name of Germanic origin, closely related to names like Gerhard and Gerard, typically meaning “strong with the spear” or “brave with the spear.”
  • D. Lodewijk
    Lodewijk is the Dutch given name equivalent to Ludwig, historically borne by several notable figures including Dutch nobles and artists.
  • E. Willem
    Willem is a given name, primarily used in Dutch-speaking regions, that corresponds to the English name William.
  • 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: Jozias
Triple: [Jozias van Aartsen, givenName, Jozias]
Generated description
Jozias is a Dutch politician best known for serving as Minister of Foreign Affairs and later as Mayor of The Hague.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jozias
Target entity description: Jozias is a Dutch politician best known for serving as Minister of Foreign Affairs and later as Mayor of The Hague.
  • A. Jacobus
    Jacobus is the given name of Koos de la Rey, a prominent Boer general and political figure in South African history.
  • B. Johannes
    Johannes is the given first name of Paul Kruger, the prominent 19th-century Boer leader and president of the South African Republic.
  • C. Gerhardus
    Gerhardus is a masculine given name of Germanic origin, closely related to names like Gerhard and Gerard, typically meaning “strong with the spear” or “brave with the spear.”
  • D. Lodewijk
    Lodewijk is the Dutch given name equivalent to Ludwig, historically borne by several notable figures including Dutch nobles and artists.
  • E. Willem
    Willem is a given name, primarily used in Dutch-speaking regions, that corresponds to the English name William.
  • 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_69aed9466d548190939f5217a23ed4ac completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeecb237748190a4d41b76e8efd0ba completed March 9, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51c9484f08190b47eec550e521da5 completed March 14, 2026, 8:30 a.m.
NEDg Description generation batch_69b51d9295908190a282d9b3f1cbb34c completed March 14, 2026, 8:34 a.m.
NED2 Entity disambiguation (via description) batch_69b51e1d6d988190b2c1a3f42964aaaa completed March 14, 2026, 8:36 a.m.
Created at: March 9, 2026, 3:21 p.m.