Triple

T7681762
Position Surface form Disambiguated ID Type / Status
Subject Ella van Heemstra E174011 entity
Predicate familyName P18 FINISHED
Object van Heemstra
Van Heemstra is a Dutch noble family name historically associated with aristocratic lineage in the Netherlands.
 E681960 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 Heemstra | Statement: [Ella van Heemstra, familyName, van Heemstra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: van Heemstra
Context triple: [Ella van Heemstra, familyName, van Heemstra]
  • A. van Wijnbergen
    Van Wijnbergen is a Dutch surname associated with individuals such as Everdine Huberta van Wijnbergen.
  • B. C. van der Leeuw
    C. van der Leeuw was a Dutch engineer and architect known for designing the Willemsbrug in Rotterdam.
  • C. van Slingelandt
    Van Slingelandt is a Dutch surname historically associated with a prominent political and administrative family in the Netherlands.
  • D. Van der Madeweg
    Van der Madeweg is a metro station in Amsterdam that serves as a stop on the city's rapid transit network.
  • E. J.M.A. Biesheuvel
    J.M.A. Biesheuvel was a Dutch writer renowned for his distinctive, often autobiographical short stories that blend humor with existential and psychological themes.
  • 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 Heemstra
Triple: [Ella van Heemstra, familyName, van Heemstra]
Generated description
Van Heemstra is a Dutch noble family name historically associated with aristocratic lineage in the Netherlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: van Heemstra
Target entity description: Van Heemstra is a Dutch noble family name historically associated with aristocratic lineage in the Netherlands.
  • A. van Wijnbergen
    Van Wijnbergen is a Dutch surname associated with individuals such as Everdine Huberta van Wijnbergen.
  • B. C. van der Leeuw
    C. van der Leeuw was a Dutch engineer and architect known for designing the Willemsbrug in Rotterdam.
  • C. van Slingelandt
    Van Slingelandt is a Dutch surname historically associated with a prominent political and administrative family in the Netherlands.
  • D. Van der Madeweg
    Van der Madeweg is a metro station in Amsterdam that serves as a stop on the city's rapid transit network.
  • E. J.M.A. Biesheuvel
    J.M.A. Biesheuvel was a Dutch writer renowned for his distinctive, often autobiographical short stories that blend humor with existential and psychological themes.
  • 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_69c6995840408190a19de6c51090f46f completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c70201387c8190afc8479b5a9e21e8 completed March 27, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a25304b88190920c2e4908925ce2 completed March 29, 2026, 3:53 a.m.
NEDg Description generation batch_69c8a3c18f208190bff7ebdcf7ba2be1 completed March 29, 2026, 4 a.m.
NED2 Entity disambiguation (via description) batch_69c8a7a002308190826cb99f238975c5 completed March 29, 2026, 4:16 a.m.
Created at: March 27, 2026, 4:01 p.m.