Triple

T10953062
Position Surface form Disambiguated ID Type / Status
Subject Gafar Nimeiry E258771 entity
Predicate name P16 FINISHED
Object Gafar Nimeiry E258771 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: Gafar Nimeiry | Statement: [Gafar Nimeiry, name, Gafar Nimeiry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gafar Nimeiry
Context triple: [Gafar Nimeiry, name, Gafar Nimeiry]
  • A. Gafar Nimeiry chosen
    Gafar Nimeiry was a Sudanese military officer and politician who served as President of Sudan from 1969 to 1985, overseeing a period of socialist-oriented rule, civil conflict, and significant political upheaval.
  • B. Karam Nimri
    Karam Nimri is the father of Spanish actress and singer Najwa Nimri.
  • C. Ghanem
    Ghanem is an Arabic family name notably borne by Alia Ghanem, the mother of Osama bin Laden.
  • D. Beni Ensar
    Beni Ensar is a coastal town in northeastern Morocco known for its port and proximity to the Spanish enclave of Melilla.
  • E. Mohandessin
    Mohandessin is a prominent, upscale district in Giza, Egypt, known for its residential neighborhoods, commercial avenues, and vibrant urban life.
  • 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_69d6aa88500c819097d7032ca578e74f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770fe4cfc81909032296c31e077f0 completed April 9, 2026, 9:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23c64089c8190a9c0aa63d7e7dc64 completed April 17, 2026, 1:57 p.m.
Created at: April 8, 2026, 9:23 p.m.