Triple

T10569255
Position Surface form Disambiguated ID Type / Status
Subject Jacob Israël de Haan E249435 entity
Predicate familyName P18 FINISHED
Object de Haan
de Haan is a Dutch surname borne by various notable figures in the Netherlands and beyond.
E871921 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: de Haan | Statement: [Jacob Israël de Haan, familyName, de Haan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: de Haan
Context triple: [Jacob Israël de Haan, familyName, de Haan]
  • A. De Haan
    De Haan is a seaside resort town on the Belgian coast, known for its Belle Époque architecture and beaches.
  • B. Goudriaan
    Goudriaan is a small village in the Dutch province of South Holland, known for its rural character and historic polder landscape.
  • C. Molenaar
    Molenaar is a Dutch occupational surname meaning "miller," referring to someone who operates or works at a mill.
  • D. De Haas
    De Haas is a surname of Dutch origin, often associated with individuals and families in the Netherlands and abroad.
  • E. Berghuizen
    Berghuizen is a small village located within the municipality of De Wolden in the Dutch province of Drenthe.
  • 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: de Haan
Triple: [Jacob Israël de Haan, familyName, de Haan]
Generated description
de Haan is a Dutch surname borne by various notable figures in the Netherlands and beyond.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: de Haan
Target entity description: de Haan is a Dutch surname borne by various notable figures in the Netherlands and beyond.
  • A. De Haan
    De Haan is a seaside resort town on the Belgian coast, known for its Belle Époque architecture and beaches.
  • B. Goudriaan
    Goudriaan is a small village in the Dutch province of South Holland, known for its rural character and historic polder landscape.
  • C. Molenaar
    Molenaar is a Dutch occupational surname meaning "miller," referring to someone who operates or works at a mill.
  • D. De Haas
    De Haas is a surname of Dutch origin, often associated with individuals and families in the Netherlands and abroad.
  • E. Berghuizen
    Berghuizen is a small village located within the municipality of De Wolden in the Dutch province of Drenthe.
  • 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_69d381c8bd708190acf3d275c908251e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d52730fd4481908b3f4eb80ca209f2 completed April 7, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b4c26ec8190910efdf4a236d654 completed April 10, 2026, 7:11 p.m.
NEDg Description generation batch_69d94e2f16788190bec54b250dad09a9 completed April 10, 2026, 7:23 p.m.
NED2 Entity disambiguation (via description) batch_69d9518517608190b5036694b83f5f58 completed April 10, 2026, 7:37 p.m.
Created at: April 6, 2026, 12:37 p.m.