Triple

T19792763
Position Surface form Disambiguated ID Type / Status
Subject Naime Sultan E475456 entity
Predicate fullName P16 FINISHED
Object Naime Sultan NE NERFINISHED

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: Naime Sultan | Statement: [Naime Sultan, fullName, Naime Sultan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naime Sultan
Context triple: [Naime Sultan, fullName, Naime Sultan]
  • A. Naime Sultan chosen
    Naime Sultan was an Ottoman princess of the late 19th and early 20th centuries, known as a daughter of Sultan Abdul Hamid II and a member of the last generation of the Ottoman imperial family.
  • B. Nazime Sultan
    Nazime Sultan was an Ottoman princess of the 19th century, known as a daughter of Sultan Abdülaziz and a member of the late Ottoman imperial family.
  • C. Maimoona Sultan
    Maimoona Sultan was a royal consort and member of the princely household of Bhopal as the wife of Nawab Hamidullah Khan.
  • D. Princess Emina Ilhamy
    Princess Emina Ilhamy was an Ottoman-Egyptian royal consort of the Muhammad Ali dynasty and a prominent figure in late 19th-century Egyptian court life.
  • E. Princess Ghida Talal
    Princess Ghida Talal is a Jordanian royal and prominent public health advocate best known for her leadership in cancer care and humanitarian initiatives in the Middle East.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51b014081908b263e167370529a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e653c4a8a88190afc2f2cd1ebbbe1e completed April 20, 2026, 4:26 p.m.
Created at: April 10, 2026, 1:49 p.m.