Triple

T3135507
Position Surface form Disambiguated ID Type / Status
Subject Anna van Egmond E65518 entity
Predicate familyName P18 FINISHED
Object van Egmond
Van Egmond is a Dutch noble family name historically associated with influential aristocratic lineages in the Netherlands.
E328873 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 Egmond | Statement: [Anna van Egmond, familyName, van Egmond]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: van Egmond
Context triple: [Anna van Egmond, familyName, van Egmond]
  • A. van Egeraat
    van Egeraat is a Dutch surname most prominently associated with architect Erik van Egeraat.
  • B. Van der Madeweg
    Van der Madeweg is a metro station in Amsterdam that serves as a stop on the city's rapid transit network.
  • C. van Dam
    van Dam is a Dutch surname commonly associated with individuals of Dutch origin or ancestry.
  • D. van Amsberg
    Van Amsberg is the German-origin noble family name associated with the Dutch royal family, including members such as Prince Constantijn of the Netherlands.
  • E. Goudswaard
    Goudswaard is a small village in the Dutch province of South Holland, known for its rural character and location on the island of Hoeksche Waard.
  • 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 Egmond
Triple: [Anna van Egmond, familyName, van Egmond]
Generated description
Van Egmond is a Dutch noble family name historically associated with influential aristocratic lineages in the Netherlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: van Egmond
Target entity description: Van Egmond is a Dutch noble family name historically associated with influential aristocratic lineages in the Netherlands.
  • A. van Egeraat
    van Egeraat is a Dutch surname most prominently associated with architect Erik van Egeraat.
  • B. Van der Madeweg
    Van der Madeweg is a metro station in Amsterdam that serves as a stop on the city's rapid transit network.
  • C. van Dam
    van Dam is a Dutch surname commonly associated with individuals of Dutch origin or ancestry.
  • D. van Amsberg
    Van Amsberg is the German-origin noble family name associated with the Dutch royal family, including members such as Prince Constantijn of the Netherlands.
  • E. Goudswaard
    Goudswaard is a small village in the Dutch province of South Holland, known for its rural character and location on the island of Hoeksche Waard.
  • 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_69ad8581c25c8190b0d85ba9b9baa531 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada5637de0819089393429c4017298 completed March 8, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f8793488190aa31040edaf1d627 completed March 12, 2026, 12:57 a.m.
NEDg Description generation batch_69b2103d83688190b107ecbacac604c1 completed March 12, 2026, 1 a.m.
NED2 Entity disambiguation (via description) batch_69b210a290088190aaa10a015519e1de completed March 12, 2026, 1:02 a.m.
Created at: March 8, 2026, 3:05 p.m.