Triple

T10987406
Position Surface form Disambiguated ID Type / Status
Subject Fatima Ahmed Ibrahim E259665 entity
Predicate name P16 FINISHED
Object Fatima Ahmed Ibrahim E259665 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: Fatima Ahmed Ibrahim | Statement: [Fatima Ahmed Ibrahim, name, Fatima Ahmed Ibrahim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fatima Ahmed Ibrahim
Context triple: [Fatima Ahmed Ibrahim, name, Fatima Ahmed Ibrahim]
  • A. Fatima Ahmed Ibrahim chosen
    Fatima Ahmed Ibrahim was a pioneering Sudanese politician, feminist, and human rights activist, renowned as one of the first female members of parliament in Africa and a leading advocate for women's rights in Sudan.
  • B. Fatima Namazi
    Fatima Namazi is a member of the Office of Special Projects, contributing to its specialized initiatives and operations.
  • C. Fatma Mohamed
    Fatma Mohamed is an actress best known for her recurring roles in Peter Strickland’s films, including the horror-comedy "In Fabric."
  • D. Hadya Sher Ali
    Hadya Sher Ali is a Pakistani woman known primarily for her brief marriage to British-Pakistani heart surgeon Hasnat Khan.
  • E. Sajida Talfah
    Sajida Talfah was the first wife and cousin of former Iraqi president Saddam Hussein and the mother of several of his children.
  • 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_69d6aa8a6a548190a750f944ccdc8064 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d787b3c8388190be77e95d56979a7f completed April 9, 2026, 11:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69e344e9c66c81909163cea6aa9276e0 completed April 18, 2026, 8:46 a.m.
Created at: April 8, 2026, 9:24 p.m.