Triple

T20954321
Position Surface form Disambiguated ID Type / Status
Subject Walid Garn E516059 entity
Predicate spouse P13 FINISHED
Object Assia Djebar 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: Assia Djebar | Statement: [Walid Garn, spouse, Assia Djebar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Assia Djebar
Context triple: [Walid Garn, spouse, Assia Djebar]
  • A. Assia Djebar chosen
    Assia Djebar was an influential Algerian novelist, filmmaker, and feminist whose French-language works powerfully explored themes of colonialism, gender, and national identity.
  • B. Tahar Ben Jelloun
    Tahar Ben Jelloun is a Moroccan-French novelist, poet, and essayist renowned for his explorations of immigration, identity, and human rights, and is one of the most translated contemporary Francophone authors.
  • C. Fayza Lamari
    Fayza Lamari is a former French handball player and the mother and influential advisor of football star Kylian Mbappé.
  • D. Fula Ajami
    Fula Ajami is a writing tradition that uses modified Arabic script to represent the Fula (Fulani) language in religious, literary, and everyday texts across West and Central Africa.
  • E. Anouchka Malouf
    Anouchka Malouf is known as the second wife of renowned ABC News anchor Peter Jennings.
  • 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_69e0b4fcd678819087a304291f14330a completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fae154a481909f235165a46d0910 completed April 21, 2026, 4:19 a.m.
Created at: April 16, 2026, 1:28 p.m.