48 lines
1.8 KiB
YAML
48 lines
1.8 KiB
YAML
ghcid_current: NL-XX-HAA-R-HH
|
|
custodian_name:
|
|
emic_name: Historische Vereniging Haastrecht
|
|
english_name: null
|
|
name_verified: true
|
|
name_source: linkedin_html_h1
|
|
institution_type: RESEARCH_CENTER
|
|
staff:
|
|
provenance:
|
|
source_type: linkedin_company_people_page_html
|
|
registered_timestamp: '2025-12-30T09:59:43Z'
|
|
registration_method: html_parsing_with_full_staff_data
|
|
total_staff_extracted: 1
|
|
staff_list:
|
|
- staff_id: historische-vereniging-haastrecht_staff_0000_kees_van_hooft
|
|
person_name: Kees van Hooft
|
|
person_profile_path: data/custodian/person/entity/kees-van-hooft-651a0a14_*.json
|
|
role_title: Research
|
|
heritage_relevant: true
|
|
heritage_type: R
|
|
linkedin_profile_url: https://www.linkedin.com/in/kees-van-hooft-651a0a14
|
|
linkedin_slug: kees-van-hooft-651a0a14
|
|
linkedin_enrichment:
|
|
source_file: (24) Historische Vereniging Haastrecht_ People _ LinkedIn.html
|
|
extraction_date: '2025-12-30T09:59:43Z'
|
|
follower_count: '17'
|
|
associated_members: 1
|
|
profile_cards_detected: 6
|
|
source_type: linkedin_company_people_page_html
|
|
extraction_method: html_parsing_with_full_staff_data
|
|
provenance:
|
|
data_source: LINKEDIN_HTML_PEOPLE_PAGE
|
|
data_tier: TIER_4_INFERRED
|
|
extraction_date: '2025-12-30T09:59:43.537013+00:00'
|
|
extraction_method: Comprehensive batch processing with H1 name extraction and full
|
|
staff data
|
|
confidence_score: 0.9
|
|
notes: 'Staff extracted from LinkedIn company People page. H1 name used: Historische
|
|
Vereniging Haastrecht. Total staff: 1. Location research needed for GHCID.'
|
|
location:
|
|
city: Haastrecht
|
|
country: NL
|
|
postal_code: Bernhardlaan 29
|
|
street: Bernhardlaan 29
|
|
ghcid_resolution:
|
|
method: linkedin_about_page_extraction
|
|
resolved_at: '2026-01-09T18:15:23.261318+00:00'
|
|
source_file: (24) Historische Vereniging Haastrecht_ About _ LinkedIn.html
|