Triple

T6518133
Position Surface form Disambiguated ID Type / Status
Subject National Salvation Front (Egypt) E148314 entity
Predicate includedFigure P66682 FINISHED
Object Amr Moussa E4387 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: Amr Moussa | Statement: [National Salvation Front (Egypt), includedFigure, Amr Moussa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amr Moussa
Context triple: [National Salvation Front (Egypt), includedFigure, Amr Moussa]
  • A. Amr Moussa chosen
    Amr Moussa is an Egyptian diplomat and politician best known for serving as Egypt’s foreign minister and later as secretary-general of the Arab League.
  • B. Ahmed Aboul Gheit
    Ahmed Aboul Gheit is an Egyptian diplomat and former foreign minister who serves as the Secretary-General of the Arab League.
  • C. Zakaria Goneim
    Zakaria Goneim was an Egyptian archaeologist best known for uncovering the unfinished Step Pyramid of Sekhemkhet at Saqqara in the 1950s.
  • D. Omar Suleiman
    Omar Suleiman was an Egyptian intelligence chief and longtime close aide to President Hosni Mubarak who briefly became vice president during the 2011 Egyptian revolution.
  • E. Abdallah Gheith
    Abdallah Gheith was a prominent Egyptian actor known for his powerful performances in film, television, and theater during the late 20th century.
  • 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_69c687e68e748190baceb9298f32d3ed completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ad92c624819086dbb12b4f6b78d3 completed March 27, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d51821e481908df305ddbc91ca60 completed March 27, 2026, 7:06 p.m.
Created at: March 27, 2026, 1:44 p.m.