Triple

T15290857
Position Surface form Disambiguated ID Type / Status
Subject Marie Bashir E365522 entity
Predicate name P16 FINISHED
Object Marie Bashir E365522 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: Marie Bashir | Statement: [Marie Bashir, name, Marie Bashir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marie Bashir
Context triple: [Marie Bashir, name, Marie Bashir]
  • A. Marie Bashir chosen
    Marie Bashir is an Australian psychiatrist and academic who served as the Governor of New South Wales, becoming the state's first female governor.
  • B. Sajida Talfah
    Sajida Talfah was the first wife and cousin of former Iraqi president Saddam Hussein and the mother of several of his children.
  • C. Mariam Bachir
    Mariam Bachir is a Spanish actress best known for her role in Pedro Almodóvar’s film "Julieta."
  • D. Mary Barakat
    Mary Barakat is known primarily as the wife of renowned Egyptian film director Henry Barakat.
  • E. Soumaya Domit Gemayel
    Soumaya Domit Gemayel was the late wife of Mexican billionaire Carlos Slim and the cultural patron whose memory inspired the creation of Mexico City’s Museo Soumaya.
  • 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_69d85a103d9081908c1ea6c4c73ac8e3 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03680b60c8190a3ea54a9d34c8105 completed April 16, 2026, 1:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69feef7d4da4819080f101c3a525ea11 completed May 9, 2026, 8:25 a.m.
Created at: April 10, 2026, 3:15 a.m.