Triple

T10506252
Position Surface form Disambiguated ID Type / Status
Subject United Nations International Commission of Inquiry on Darfur E247793 entity
Predicate hasMember P10 FINISHED
Object Hina Jilani E49415 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: Hina Jilani | Statement: [United Nations International Commission of Inquiry on Darfur, hasMember, Hina Jilani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hina Jilani
Context triple: [United Nations International Commission of Inquiry on Darfur, hasMember, Hina Jilani]
  • A. Hina Jilani chosen
    Hina Jilani is a prominent Pakistani lawyer and human rights activist known for her pioneering work in women's rights, civil liberties, and international justice.
  • B. Intizar Hussain
    Intizar Hussain was a prominent Pakistani writer and critic renowned for his Urdu short stories and novels that blend tradition, memory, and modernist narrative techniques.
  • C. Nasira Iqbal
    Nasira Iqbal is a Pakistani jurist and former judge of the Lahore High Court, recognized as one of the country’s prominent female legal figures.
  • D. Umaima Marvi
    Umaima Marvi is the wife of educator and Khan Academy founder Sal Khan.
  • E. Moneeza Hashmi
    Moneeza Hashmi is a Pakistani television producer and media professional known for her contributions to public broadcasting and cultural programming.
  • 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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509a07c908190bf0e3e5d480b306d completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95e5d1a2c81908a9bb8f1c55414fa completed April 10, 2026, 8:32 p.m.
Created at: April 6, 2026, 12:26 p.m.