Triple

T6937252
Position Surface form Disambiguated ID Type / Status
Subject Alaa Mubarak E160583 entity
Predicate givenName P17 FINISHED
Object Alaa
Alaa is an Arabic given name commonly used for both males and females in the Middle East and North Africa.
E630858 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: Alaa | Statement: [Alaa Mubarak, givenName, Alaa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alaa
Context triple: [Alaa Mubarak, givenName, Alaa]
  • A. Rumaitha
    Rumaitha is a town in southern Iraq notable as one of the centers of resistance during the 1920 Iraqi revolt against British rule.
  • B. Salwa
    Salwa is a coastal residential district in Kuwait, located within the Hawalli Governorate and known for its mix of housing, schools, and local amenities.
  • C. She'eb
    She'eb is a town in Eritrea located within the Northern Red Sea administrative region.
  • D. Taysir
    Taysir is an Arabic male given name meaning "facilitation" or "making things easier," commonly used across the Arab world.
  • E. Juhayna
    Juhayna is a town in Egypt’s Sohag Governorate, located in Upper Egypt along the Nile Valley.
  • 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: Alaa
Triple: [Alaa Mubarak, givenName, Alaa]
Generated description
Alaa is an Arabic given name commonly used for both males and females in the Middle East and North Africa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Alaa
Target entity description: Alaa is an Arabic given name commonly used for both males and females in the Middle East and North Africa.
  • A. Rumaitha
    Rumaitha is a town in southern Iraq notable as one of the centers of resistance during the 1920 Iraqi revolt against British rule.
  • B. Salwa
    Salwa is a coastal residential district in Kuwait, located within the Hawalli Governorate and known for its mix of housing, schools, and local amenities.
  • C. She'eb
    She'eb is a town in Eritrea located within the Northern Red Sea administrative region.
  • D. Taysir
    Taysir is an Arabic male given name meaning "facilitation" or "making things easier," commonly used across the Arab world.
  • E. Juhayna
    Juhayna is a town in Egypt’s Sohag Governorate, located in Upper Egypt along the Nile Valley.
  • 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_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_69c75861cd548190a215d616b68101d9 completed March 28, 2026, 4:26 a.m.
NEDg Description generation batch_69c759b6e0b48190a29c151bb3ce5165 completed March 28, 2026, 4:31 a.m.
NED2 Entity disambiguation (via description) batch_69c759fc5ea88190837bed8ab37a920b completed March 28, 2026, 4:33 a.m.
Created at: March 27, 2026, 2:27 p.m.