Triple

T427753
Position Surface form Disambiguated ID Type / Status
Subject Khaldoon Al Mubarak E9645 entity
Predicate givenName P17 FINISHED
Object Khaldoon
Khaldoon is an Arabic masculine given name commonly used in the Middle East.
E54319 NE FINISHED

How this triple was built (4 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: Khaldoon | Statement: [Khaldoon Al Mubarak, givenName, Khaldoon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khaldoon
Context triple: [Khaldoon Al Mubarak, givenName, Khaldoon]
  • A. Wad Madani
    Wad Madani is a major city in east-central Sudan and the capital of Al Jazirah state, serving as an important commercial and agricultural hub along the Blue Nile.
  • B. Eskandar
    Eskandar is a Persian and Arabic form of the name Alexander, commonly used in historical and literary contexts to refer to Alexander the Great.
  • C. Amr
    Amr is a common Arabic male given name, often associated with historical and contemporary figures across the Arab world.
  • D. Ashrawi
    Ashrawi is the surname of Hanan Ashrawi, a prominent Palestinian legislator, activist, and academic.
  • E. As-Samad
    As-Samad is one of the names of Allah in Islam, signifying the One who is absolutely self-sufficient, eternally depended upon by all creation, and free of all need.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Khaldoon
Triple: [Khaldoon Al Mubarak, givenName, Khaldoon]
Generated description
Khaldoon is an Arabic masculine given name commonly used in the Middle East.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Khaldoon
Target entity description: Khaldoon is an Arabic masculine given name commonly used in the Middle East.
  • A. Wad Madani
    Wad Madani is a major city in east-central Sudan and the capital of Al Jazirah state, serving as an important commercial and agricultural hub along the Blue Nile.
  • B. Eskandar
    Eskandar is a Persian and Arabic form of the name Alexander, commonly used in historical and literary contexts to refer to Alexander the Great.
  • C. Amr
    Amr is a common Arabic male given name, often associated with historical and contemporary figures across the Arab world.
  • D. Ashrawi
    Ashrawi is the surname of Hanan Ashrawi, a prominent Palestinian legislator, activist, and academic.
  • E. As-Samad
    As-Samad is one of the names of Allah in Islam, signifying the One who is absolutely self-sufficient, eternally depended upon by all creation, and free of all need.
  • F. None of above. chosen

Provenance (5 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_69a2e801e1d48190b505d1dd336b52ac completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2eed7f3508190995dcd39586ed614 completed Feb. 28, 2026, 1:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69a42f665c2881908850bce36cdf74b8 completed March 1, 2026, 12:21 p.m.
NEDg Description generation batch_69a43038d2348190a348e6661d27dde4 completed March 1, 2026, 12:25 p.m.
NED2 Entity disambiguation (via description) batch_69a430f6c6f88190b5aecfe3c4c8957d completed March 1, 2026, 12:28 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.