Triple

T17066897
Position Surface form Disambiguated ID Type / Status
Subject Al Said dynasty E414110 entity
Predicate notableMember P10 FINISHED
Object Haitham bin Tariq 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: Haitham bin Tariq | Statement: [Al Said dynasty, notableMember, Haitham bin Tariq]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haitham bin Tariq
Context triple: [Al Said dynasty, notableMember, Haitham bin Tariq]
  • A. Haitham bin Tariq chosen
    Haitham bin Tariq is the Sultan of Oman, who ascended to the throne in 2020 and oversees the country's political and economic modernization efforts.
  • B. Hamad bin Mohammed Al Sharqi
    Hamad bin Mohammed Al Sharqi is the long-serving ruler of the Emirate of Fujairah and a prominent member of the United Arab Emirates’ Supreme Council.
  • C. Oman bin Haitham
    Oman bin Haitham is a member of the Omani royal family and son of Sultan Haitham bin Tariq, positioning him within the line of succession to the throne of Oman.
  • D. Prince Nasir Al-Subaai
    Prince Nasir Al-Subaai is a reform-minded Gulf royal and key political figure in the geopolitical thriller film "Syriana."
  • E. Nasir al-Sadoon
    Nasir al-Sadoon was an Iraqi statesman and tribal leader credited with establishing the city of Nasiriyah in southern Iraq.
  • 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_69d886cde3d481908d4d01ba88ba7eb7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbbddd708190a6192466b7dfd606 completed April 18, 2026, 7:30 p.m.
Created at: April 10, 2026, 5:34 a.m.