Triple

T18446125
Position Surface form Disambiguated ID Type / Status
Subject Basma E450662 entity
Predicate transliterationVariant P5923 FINISHED
Object Basmah
Basmah is a feminine given name of Arabic origin, commonly interpreted to mean "smile" or "smiling."
E1324931 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: Basmah | Statement: [Basma, transliterationVariant, Basmah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Basmah
Context triple: [Basma, transliterationVariant, Basmah]
  • A. Buraydah
    Buraydah is a major city in central Saudi Arabia and the capital of Al-Qassim Region, known as an important agricultural and commercial center.
  • B. Fahdah
    Fahdah is a Saudi princess, formally known as Princess Fahdah Mohammed Abunayyan, associated with the Saudi royal family.
  • C. Rifaiyya
    Rifaiyya is a Sufi order known for its ecstatic rituals, devotional practices, and emphasis on spiritual poverty and humility within Islamic mysticism.
  • D. Zohra
    Zohra is a character in Naguib Mahfouz’s novel "Miramar," which centers on the lives and conflicts of residents in a pension in Alexandria, Egypt.
  • E. Zabiba
    Zabiba was the enslaved Ethiopian woman who became the mother of the famed pre-Islamic Arab poet and warrior Antarah ibn Shaddad.
  • 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: Basmah
Triple: [Basma, transliterationVariant, Basmah]
Generated description
Basmah is a feminine given name of Arabic origin, commonly interpreted to mean "smile" or "smiling."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Basmah
Target entity description: Basmah is a feminine given name of Arabic origin, commonly interpreted to mean "smile" or "smiling."
  • A. Buraydah
    Buraydah is a major city in central Saudi Arabia and the capital of Al-Qassim Region, known as an important agricultural and commercial center.
  • B. Fahdah
    Fahdah is a Saudi princess, formally known as Princess Fahdah Mohammed Abunayyan, associated with the Saudi royal family.
  • C. Rifaiyya
    Rifaiyya is a Sufi order known for its ecstatic rituals, devotional practices, and emphasis on spiritual poverty and humility within Islamic mysticism.
  • D. Zohra
    Zohra is a character in Naguib Mahfouz’s novel "Miramar," which centers on the lives and conflicts of residents in a pension in Alexandria, Egypt.
  • E. Zabiba
    Zabiba was the enslaved Ethiopian woman who became the mother of the famed pre-Islamic Arab poet and warrior Antarah ibn Shaddad.
  • 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e52644959c8190b1117608e5fa15aa completed April 19, 2026, 7 p.m.
NED1 Entity disambiguation (via context triple) batch_6a040fdf827881909457dd732508db0b completed May 13, 2026, 5:45 a.m.
NEDg Description generation batch_6a0410ccd9f8819089f657fe4ec82a8e completed May 13, 2026, 5:49 a.m.
NED2 Entity disambiguation (via description) batch_6a0411e5d7408190b53c21230a99fa03 completed May 13, 2026, 5:53 a.m.
Created at: April 10, 2026, 11:30 a.m.