Triple

T23367042
Position Surface form Disambiguated ID Type / Status
Subject Mohammed Waheed Hassan E593351 entity
Predicate workedFor P1910 FINISHED
Object UNICEF NE NERFINISHED

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: UNICEF | Statement: [Mohammed Waheed Hassan, workedFor, UNICEF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UNICEF
Context triple: [Mohammed Waheed Hassan, workedFor, UNICEF]
  • A. UNICEF chosen
    UNICEF is a United Nations agency dedicated to providing humanitarian and developmental aid to children worldwide, focusing on health, education, protection, and emergency relief.
  • B. UNICE
    UNICE is the former name of BusinessEurope, a major European business federation representing enterprises at the EU level.
  • C. Save the Children
    Save the Children is an international non-governmental organization that works to improve the lives, health, education, and protection of children worldwide.
  • D. United Nations Population Fund
    The United Nations Population Fund (UNFPA) is a UN agency that promotes sexual and reproductive health, supports family planning, and advocates for the rights and well-being of women and young people worldwide.
  • E. United Nations Development Programme
    The United Nations Development Programme is the UN’s global development agency that works to eradicate poverty, reduce inequalities, and support sustainable development in countries worldwide.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e25d2593c88190bcdf4a716a94ccb2 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a0ad621881908a909f236e6e9c90 completed April 29, 2026, 6:09 a.m.
Created at: April 17, 2026, 5:32 p.m.