Triple

T3053750
Position Surface form Disambiguated ID Type / Status
Subject Rachida Brakni E60431 entity
Predicate givenName P17 FINISHED
Object Rachida E60431 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: Rachida | Statement: [Rachida Brakni, givenName, Rachida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rachida
Context triple: [Rachida Brakni, givenName, Rachida]
  • A. Rachida Brakni chosen
    Rachida Brakni is a French actress and former member of the Comédie-Française, known for her acclaimed work in film, television, and theater.
  • B. Cécile Fatiman
    Cécile Fatiman was a Haitian Vodou priestess and revolutionary figure traditionally credited with helping to spark the Haitian Revolution through her role in the Bois Caïman ceremony.
  • C. Aziza
    Aziza is a traditional deity revered in Urhobo religion, associated with spiritual protection and guidance within the culture of the Urhobo people of Nigeria.
  • D. Aida El-Kachef
    Aida El-Kachef is known as the wife of Egyptian diplomat and Nobel Peace Prize laureate Mohamed ElBaradei.
  • E. Lina Ben Mhenni
    Lina Ben Mhenni was a Tunisian blogger, activist, and outspoken critic of censorship whose online reporting became a prominent voice of the Arab Spring.
  • 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_69ad8578137c81908259dcb27c7d6d7c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ad9bf51b5081908ce355a76cfa9e3c completed March 8, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2034c337481909c1b1ae304b89c24 completed March 12, 2026, 12:05 a.m.
Created at: March 8, 2026, 3:01 p.m.