Triple

T9730135
Position Surface form Disambiguated ID Type / Status
Subject Pam Omidyar E235716 entity
Predicate employer P7 FINISHED
Object HopeLab E817529 NE FINISHED

How this triple was built (2 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: HopeLab | Statement: [Pam Omidyar, employer, HopeLab]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HopeLab
Context triple: [Pam Omidyar, employer, HopeLab]
  • A. HopeLab chosen
    HopeLab is a nonprofit social innovation lab that develops science-based digital tools and interventions to improve the mental health and well-being of young people.
  • B. People in Need
    People in Need is a Czech humanitarian and human rights organization that provides aid in crisis regions, supports civil society, and promotes social inclusion and education worldwide.
  • C. Uweza Foundation
    Uweza Foundation is a nonprofit organization focused on empowering children and youth in Kenya’s informal settlements through education, arts, and community-based programs.
  • D. World Childhood Foundation
    The World Childhood Foundation is an international non-profit organization dedicated to protecting children from violence, exploitation, and sexual abuse, co-founded by Queen Silvia of Sweden.
  • E. WE Charity
    WE Charity is an international development and youth empowerment organization known for its educational, health, and community-building projects in developing countries and its large-scale student engagement initiatives in North America and beyond.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca84d0fad481909cdd45aa77416c48 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9eb0ff488190ac32ed304a3cd3bc completed April 1, 2026, 10:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1afba5ec081908044a4aefdc6f9ee completed April 5, 2026, 12:41 a.m.
Created at: March 30, 2026, 8:21 p.m.