Triple

T19055651
Position Surface form Disambiguated ID Type / Status
Subject Frans Van der Elst E466386 entity
Predicate familyName P18 FINISHED
Object Van der Elst
Van der Elst is a Dutch-origin surname commonly found in Belgium and the Netherlands, associated with several notable figures in sports, politics, and the arts.
E1355902 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 der Elst | Statement: [Frans Van der Elst, familyName, Van der Elst]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Van der Elst
Context triple: [Frans Van der Elst, familyName, Van der Elst]
  • A. Frans Van der Elst
    Frans Van der Elst was a Belgian politician best known as a founding figure of the Flemish nationalist movement and the Volksunie party.
  • B. Jan D'Alquen
    Jan D'Alquen is a cinematographer best known for his work on the classic coming-of-age film "American Graffiti."
  • C. Els Vandevorst
    Els Vandevorst is a Dutch film producer known for her work on acclaimed European and international feature films.
  • D. An D’Huys
    An D’Huys is a costume designer known for her work on the stage adaptation of "All About Eve" and other prominent theatre and film productions.
  • E. Aeltge Velthuys
    Aeltge Velthuys was the wife of Dutch Golden Age painter Carel Fabritius, known primarily through her connection to the artist.
  • 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 der Elst
Triple: [Frans Van der Elst, familyName, Van der Elst]
Generated description
Van der Elst is a Dutch-origin surname commonly found in Belgium and the Netherlands, associated with several notable figures in sports, politics, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Van der Elst
Target entity description: Van der Elst is a Dutch-origin surname commonly found in Belgium and the Netherlands, associated with several notable figures in sports, politics, and the arts.
  • A. Frans Van der Elst
    Frans Van der Elst was a Belgian politician best known as a founding figure of the Flemish nationalist movement and the Volksunie party.
  • B. Jan D'Alquen
    Jan D'Alquen is a cinematographer best known for his work on the classic coming-of-age film "American Graffiti."
  • C. Els Vandevorst
    Els Vandevorst is a Dutch film producer known for her work on acclaimed European and international feature films.
  • D. An D’Huys
    An D’Huys is a costume designer known for her work on the stage adaptation of "All About Eve" and other prominent theatre and film productions.
  • E. Aeltge Velthuys
    Aeltge Velthuys was the wife of Dutch Golden Age painter Carel Fabritius, known primarily through her connection to the artist.
  • 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_69d8dd040fb881909af2a964f65ad208 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5dc056b708190a2b84cbddf0fc2d9 completed April 20, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05c5596cac8190bd83e77f5997644f completed May 14, 2026, 12:51 p.m.
NEDg Description generation batch_6a05c98f2fd08190b5b64567c7425c17 completed May 14, 2026, 1:09 p.m.
NED2 Entity disambiguation (via description) batch_6a05c9ed55f48190ab6352a49cae48da completed May 14, 2026, 1:11 p.m.
Created at: April 10, 2026, 12:03 p.m.