Triple

T1939826
Position Surface form Disambiguated ID Type / Status
Subject Safia Farkash E41526 entity
Predicate name P16 FINISHED
Object Safia Farkash E41526 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: Safia Farkash | Statement: [Safia Farkash, name, Safia Farkash]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Safia Farkash
Context triple: [Safia Farkash, name, Safia Farkash]
  • A. Safia Farkash chosen
    Safia Farkash is the second wife of former Libyan leader Muammar Gaddafi and the mother of several of his children, known primarily for her role as Libya’s de facto first lady during his rule.
  • B. Aida El-Kachef
    Aida El-Kachef is known as the wife of Egyptian diplomat and Nobel Peace Prize laureate Mohamed ElBaradei.
  • C. Bassma Al Jandali
    Bassma Al Jandali is a Syrian-American woman known primarily as the sister of Abdulfattah Jandali, the biological father of Apple co-founder Steve Jobs.
  • D. Hanan Hashim
    Hanan Hashim is the mother of Queen Alia al-Hussein of Jordan and a member of the extended Jordanian royal family.
  • E. Safa Zaki
    Safa Zaki is a cognitive psychologist and academic leader who became the first woman to serve as president of Bowdoin College.
  • 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_69a88649b24c819080047f26b6db2ded completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb2ca385c8190ad0e4bafbb9b5e5c completed March 7, 2026, 5:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0315bb6c8190aa5571fe631a7310 completed March 8, 2026, 11:15 p.m.
Created at: March 4, 2026, 7:36 p.m.