Triple

T4532715
Position Surface form Disambiguated ID Type / Status
Subject Basma bint Talal E106334 entity
Predicate givenName P17 FINISHED
Object Basma
Basma is a feminine given name commonly used in Arabic-speaking countries, meaning "smile."
E450662 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: Basma | Statement: [Basma bint Talal, givenName, Basma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Basma
Context triple: [Basma bint Talal, givenName, Basma]
  • A. Hanan
    Hanan is a given name most notably borne by Palestinian legislator, activist, and scholar Hanan Ashrawi.
  • B. Anizah
    Anizah is a prominent Arab tribal confederation historically associated with the Najd region of the Arabian Peninsula.
  • C. 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.
  • D. Amina
    Amina is the gentle, devout, and sheltered matriarch at the heart of Naguib Mahfouz’s novel "Palace Walk," embodying traditional family values in early 20th-century Cairo.
  • E. Aziza
    Aziza is a traditional deity revered in Urhobo religion, associated with spiritual protection and guidance within the culture of the Urhobo people of Nigeria.
  • 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: Basma
Triple: [Basma bint Talal, givenName, Basma]
Generated description
Basma is a feminine given name commonly used in Arabic-speaking countries, meaning "smile."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Basma
Target entity description: Basma is a feminine given name commonly used in Arabic-speaking countries, meaning "smile."
  • A. Hanan
    Hanan is a given name most notably borne by Palestinian legislator, activist, and scholar Hanan Ashrawi.
  • B. Anizah
    Anizah is a prominent Arab tribal confederation historically associated with the Najd region of the Arabian Peninsula.
  • C. 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.
  • D. Amina
    Amina is the gentle, devout, and sheltered matriarch at the heart of Naguib Mahfouz’s novel "Palace Walk," embodying traditional family values in early 20th-century Cairo.
  • E. Aziza
    Aziza is a traditional deity revered in Urhobo religion, associated with spiritual protection and guidance within the culture of the Urhobo people of Nigeria.
  • 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_69bd43f3d6e08190a91824f833d51bbe completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd579f27ac8190ae9a4252109e56e1 completed March 20, 2026, 2:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdace3a81c8190963ea65fa3df23c0 completed March 20, 2026, 8:24 p.m.
NEDg Description generation batch_69bdad6a522c8190a490347d3fe623e8 completed March 20, 2026, 8:26 p.m.
NED2 Entity disambiguation (via description) batch_69bdadd612a48190b088fe6ac894dbb5 completed March 20, 2026, 8:28 p.m.
Created at: March 20, 2026, 1:03 p.m.