Triple

T10593704
Position Surface form Disambiguated ID Type / Status
Subject Asma Jahangir E250055 entity
Predicate givenName P17 FINISHED
Object Asma
Asma is a feminine given name commonly used in South Asian and Middle Eastern cultures, often associated with notable figures in activism, politics, and the arts.
 E757412 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: Asma | Statement: [Asma Jahangir, givenName, Asma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Asma
Context triple: [Asma Jahangir, givenName, Asma]
  • A. Asmaa
    Asmaa is a feminine given name of Arabic origin commonly used in many Muslim-majority countries.
  • B. Amna
    Amna is a central female character in the Egyptian film "The Nightingale's Prayer," whose tragic story explores themes of honor, revenge, and social oppression.
  • C. Asma ul Husna
    Asma ul Husna refers to the 99 beautiful names of Allah in Islamic tradition, each expressing a distinct divine attribute.
  • 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. Maryam
    Maryam is a revered figure in Islam, honored in the Qur’an as the mother of Prophet Isa (Jesus) and a model of piety and devotion.
  • 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: Asma
Triple: [Asma Jahangir, givenName, Asma]
Generated description
Asma is a feminine given name commonly used in South Asian and Middle Eastern cultures, often associated with notable figures in activism, politics, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Asma
Target entity description: Asma is a feminine given name commonly used in South Asian and Middle Eastern cultures, often associated with notable figures in activism, politics, and the arts.
  • A. Asmaa chosen
    Asmaa is a feminine given name of Arabic origin commonly used in many Muslim-majority countries.
  • B. Amna
    Amna is a central female character in the Egyptian film "The Nightingale's Prayer," whose tragic story explores themes of honor, revenge, and social oppression.
  • C. Asma ul Husna
    Asma ul Husna refers to the 99 beautiful names of Allah in Islamic tradition, each expressing a distinct divine attribute.
  • 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. Maryam
    Maryam is a revered figure in Islam, honored in the Qur’an as the mother of Prophet Isa (Jesus) and a model of piety and devotion.
  • F. None of above.

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_69d381c9d3d48190a29ee491e1696a0e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5278bacd88190a50dedfa59b622fc completed April 7, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95e8de2e88190835954abb2ac2ece completed April 10, 2026, 8:33 p.m.
NEDg Description generation batch_69d95f80d0c48190b88e3a4b3e42279c completed April 10, 2026, 8:37 p.m.
NED2 Entity disambiguation (via description) batch_69d9602748608190b0c971accf44b7aa completed April 10, 2026, 8:40 p.m.
Created at: April 6, 2026, 12:40 p.m.