Triple

T12640137
Position Surface form Disambiguated ID Type / Status
Subject Raghad Hussein E301871 entity
Predicate relative P37 FINISHED
Object Rana Hussein E298480 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: Rana Hussein | Statement: [Raghad Hussein, relative, Rana Hussein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rana Hussein
Context triple: [Raghad Hussein, relative, Rana Hussein]
  • A. Rana Hussein chosen
    Rana Hussein is one of the daughters of former Iraqi president Saddam Hussein and his first wife, Sajida Talfah.
  • B. Boinali Said
    Boinali Said is a French politician best known for co-founding the centrist political party Union des Démocrates et Indépendants (UDI).
  • C. Hany Mukhtar
    Hany Mukhtar is a German professional soccer player and attacking midfielder known as a star playmaker and MVP-caliber performer for Nashville SC in Major League Soccer.
  • D. Hussain Kirsha
    Hussain Kirsha is a character in Naguib Mahfouz’s novel "Midaq Alley," known as the son of a café owner whose ambitions and moral compromises reflect the social changes in mid-20th-century Cairo.
  • E. Zia Mohyeddin
    Zia Mohyeddin was a renowned Pakistani-British actor, producer, and television host known for his distinguished stage and screen performances and his iconic Urdu literary recitations.
  • 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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961499de08190bdba66ca40b021be completed April 10, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f668754acc8190b5585dbd35387867 completed May 2, 2026, 9:11 p.m.
Created at: April 9, 2026, 5:16 p.m.