Triple

T18618459
Position Surface form Disambiguated ID Type / Status
Subject Raif Badawi E455088 entity
Predicate hasRelative P367 FINISHED
Object Ensaf Haidar 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: Ensaf Haidar | Statement: [Raif Badawi, hasRelative, Ensaf Haidar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ensaf Haidar
Context triple: [Raif Badawi, hasRelative, Ensaf Haidar]
  • A. Ensaf Haidar chosen
    Ensaf Haidar is a Saudi-born human rights activist and author known for campaigning internationally for the release of her imprisoned husband, blogger Raif Badawi, and for advocating freedom of expression.
  • B. Laila Nabulsi
    Laila Nabulsi is a film producer best known for producing the cult classic adaptation of Hunter S. Thompson’s "Fear and Loathing in Las Vegas."
  • C. Salma Abu Deif
    Salma Abu Deif is an Egyptian actress and model known for her roles in contemporary Arabic television series and films.
  • D. Safia Farkash
    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.
  • E. Lubna Azabal
    Lubna Azabal is a Belgian actress of Moroccan and Spanish descent, acclaimed for her intense performances in international films and television dramas.
  • 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_69d8d38bbe7c8190bdec3138e7d413c9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54d07dc288190bb3b8b5ab06518da completed April 19, 2026, 9:45 p.m.
Created at: April 10, 2026, 11:46 a.m.