Triple

T6678961
Position Surface form Disambiguated ID Type / Status
Subject Haitham bin Tariq E151929 entity
Predicate name P16 FINISHED
Object Haitham bin Tariq E151929 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: Haitham bin Tariq | Statement: [Haitham bin Tariq, name, Haitham bin Tariq]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haitham bin Tariq
Context triple: [Haitham bin Tariq, name, 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. Prince Nasir Al-Subaai
    Prince Nasir Al-Subaai is a reform-minded Gulf royal and key political figure in the geopolitical thriller film "Syriana."
  • D. Nasir al-Sadoon
    Nasir al-Sadoon was an Iraqi statesman and tribal leader credited with establishing the city of Nasiriyah in southern Iraq.
  • E. Talal bin Muhammad
    Talal bin Muhammad is a Jordanian prince and senior member of the Hashemite royal family who has held various military and diplomatic roles.
  • 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_69c687f830bc81909eb8b04dbb8450b1 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b0f6813c8190906f619b4276a232 completed March 27, 2026, 4:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f7a9fda4819096d4bd3e8133cecb completed March 27, 2026, 9:33 p.m.
Created at: March 27, 2026, 2:03 p.m.