Triple

T6937220
Position Surface form Disambiguated ID Type / Status
Subject Suzanne Mubarak E160582 entity
Predicate child P120 FINISHED
Object Alaa Mubarak E160583 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: Alaa Mubarak | Statement: [Suzanne Mubarak, child, Alaa Mubarak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alaa Mubarak
Context triple: [Suzanne Mubarak, child, Alaa Mubarak]
  • A. Alaa Mubarak chosen
    Alaa Mubarak is an Egyptian businessman best known as the elder son of former Egyptian president Hosni Mubarak and a prominent member of the Mubarak family.
  • B. Ad-Duha
    Ad-Duha is the 93rd chapter of the Qur’an, known for consoling the Prophet Muhammad and affirming that God’s care and future blessings surpass past hardships.
  • C. Khilwat Mubarak
    Khilwat Mubarak is the grand central durbar hall of Hyderabad’s Chowmahalla Palace, historically used by the Nizams for ceremonial and official gatherings.
  • D. Al Barsha
    Al Barsha is a residential and commercial district in western Dubai, United Arab Emirates, known for its proximity to major shopping centers and easy access to Sheikh Zayed Road.
  • E. As-Salam
    As-Salam is one of the names of God in Islam, signifying "The Source of Peace" and embodying divine safety, harmony, and well-being.
  • 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_69c6884f3db4819080ad65da69386206 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6da606328819095eb852f7a0842dc completed March 27, 2026, 7:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c75151d5e48190b2389ae9049d1454 completed March 28, 2026, 3:56 a.m.
Created at: March 27, 2026, 2:27 p.m.