Triple

T13305754
Position Surface form Disambiguated ID Type / Status
Subject Willem Bilderdijk E316932 entity
Predicate familyName P18 FINISHED
Object Bilderdijk
Bilderdijk is a Dutch surname most notably associated with the poet, historian, and linguist Willem Bilderdijk.
 E1032000 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: Bilderdijk | Statement: [Willem Bilderdijk, familyName, Bilderdijk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bilderdijk
Context triple: [Willem Bilderdijk, familyName, Bilderdijk]
  • A. Oostgaarde
    Oostgaarde is a residential district in the Dutch town of Capelle aan den IJssel, located near Rotterdam in the province of South Holland.
  • B. Bordesholm
    Bordesholm is a small town in Schleswig-Holstein, northern Germany, historically notable as a religious and cultural center and as the burial site of regional nobility.
  • C. Raalte
    Raalte is a town and municipality in the Dutch province of Overijssel, known for its agricultural surroundings and regional festivals.
  • D. Molenstad
    Molenstad is the Dutch nickname for the town of Winschoten, referring to its notable association with windmills.
  • E. Hudde
    Hudde is a Dutch surname most notably associated with Johannes Hudde, a 17th-century mathematician and mayor of Amsterdam known for his contributions to algebra and optics.
  • 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: Bilderdijk
Triple: [Willem Bilderdijk, familyName, Bilderdijk]
Generated description
Bilderdijk is a Dutch surname most notably associated with the poet, historian, and linguist Willem Bilderdijk.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bilderdijk
Target entity description: Bilderdijk is a Dutch surname most notably associated with the poet, historian, and linguist Willem Bilderdijk.
  • A. Oostgaarde
    Oostgaarde is a residential district in the Dutch town of Capelle aan den IJssel, located near Rotterdam in the province of South Holland.
  • B. Bordesholm
    Bordesholm is a small town in Schleswig-Holstein, northern Germany, historically notable as a religious and cultural center and as the burial site of regional nobility.
  • C. Raalte
    Raalte is a town and municipality in the Dutch province of Overijssel, known for its agricultural surroundings and regional festivals.
  • D. Molenstad
    Molenstad is the Dutch nickname for the town of Winschoten, referring to its notable association with windmills.
  • E. Hudde
    Hudde is a Dutch surname most notably associated with Johannes Hudde, a 17th-century mathematician and mayor of Amsterdam known for his contributions to algebra and optics.
  • 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_69d806b40ab4819094adf6c374f4811a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990a76adc8190ab9abcdb79a21ca8 completed April 11, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716e3617081909eea9989cf5e7b30 completed May 3, 2026, 9:35 a.m.
NEDg Description generation batch_69f7179da5488190a10acadbf60ea470 completed May 3, 2026, 9:38 a.m.
NED2 Entity disambiguation (via description) batch_69f71847e7308190ac6f59a7dcafa452 completed May 3, 2026, 9:41 a.m.
Created at: April 9, 2026, 9:28 p.m.