Triple

T6624234
Position Surface form Disambiguated ID Type / Status
Subject Allart van Everdingen E149754 entity
Predicate familyName P18 FINISHED
Object van Everdingen
van Everdingen is a Dutch surname most notably associated with the 17th-century landscape painter Allart van Everdingen.
 E599896 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: van Everdingen | Statement: [Allart van Everdingen, familyName, van Everdingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: van Everdingen
Context triple: [Allart van Everdingen, familyName, van Everdingen]
  • A. van Egeraat
    van Egeraat is a Dutch surname most prominently associated with architect Erik van Egeraat.
  • B. van Eesteren
    Van Eesteren is a Dutch surname most notably associated with Cornelis van Eesteren, an influential modernist architect and urban planner.
  • C. van Egmond
    Van Egmond is a Dutch noble family name historically associated with influential aristocratic lineages in the Netherlands.
  • D. van Wijnbergen
    Van Wijnbergen is a Dutch surname associated with individuals such as Everdine Huberta van Wijnbergen.
  • E. Van der Madeweg
    Van der Madeweg is a metro station in Amsterdam that serves as a stop on the city's rapid transit network.
  • 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: van Everdingen
Triple: [Allart van Everdingen, familyName, van Everdingen]
Generated description
van Everdingen is a Dutch surname most notably associated with the 17th-century landscape painter Allart van Everdingen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: van Everdingen
Target entity description: van Everdingen is a Dutch surname most notably associated with the 17th-century landscape painter Allart van Everdingen.
  • A. van Egeraat
    van Egeraat is a Dutch surname most prominently associated with architect Erik van Egeraat.
  • B. van Eesteren
    Van Eesteren is a Dutch surname most notably associated with Cornelis van Eesteren, an influential modernist architect and urban planner.
  • C. van Egmond
    Van Egmond is a Dutch noble family name historically associated with influential aristocratic lineages in the Netherlands.
  • D. van Wijnbergen
    Van Wijnbergen is a Dutch surname associated with individuals such as Everdine Huberta van Wijnbergen.
  • E. Van der Madeweg
    Van der Madeweg is a metro station in Amsterdam that serves as a stop on the city's rapid transit network.
  • 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_69c687ed8a9c81908bb671717cb192ef completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af7fc054819099a2e58cefd8fed7 completed March 27, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cbe690548190a771bb1ec8d3aacf completed March 27, 2026, 6:26 p.m.
NEDg Description generation batch_69c6cd0a98908190a5725c49bad7589d completed March 27, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69c6cdcc10c08190aa98212bd17063a3 completed March 27, 2026, 6:34 p.m.
Created at: March 27, 2026, 1:58 p.m.