Triple

T7568468
Position Surface form Disambiguated ID Type / Status
Subject Anisa Makhlouf E179179 entity
Predicate givenName P17 FINISHED
Object Anisa
Anisa is a feminine given name of Arabic origin commonly used in various Muslim-majority cultures.
 E672808 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: Anisa | Statement: [Anisa Makhlouf, givenName, Anisa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Anisa
Context triple: [Anisa Makhlouf, givenName, Anisa]
  • A. Anizah
    Anizah is a prominent Arab tribal confederation historically associated with the Najd region of the Arabian Peninsula.
  • B. Anila
    Anila is a name and epithet of the Hindu wind god Vayu, representing the personification of air and life-breath.
  • C. Unaizah
    Unaizah is a historic oasis city in central Saudi Arabia’s Qassim region, known for its date farms, traditional markets, and cultural heritage.
  • 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. 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.
  • 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: Anisa
Triple: [Anisa Makhlouf, givenName, Anisa]
Generated description
Anisa is a feminine given name of Arabic origin commonly used in various Muslim-majority cultures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Anisa
Target entity description: Anisa is a feminine given name of Arabic origin commonly used in various Muslim-majority cultures.
  • A. Anizah
    Anizah is a prominent Arab tribal confederation historically associated with the Najd region of the Arabian Peninsula.
  • B. Anila
    Anila is a name and epithet of the Hindu wind god Vayu, representing the personification of air and life-breath.
  • C. Unaizah
    Unaizah is a historic oasis city in central Saudi Arabia’s Qassim region, known for its date farms, traditional markets, and cultural heritage.
  • 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. 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.
  • 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_69c69f316e50819081a271c85c06f918 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f91d9bfc8190af6f5f8211c3dda2 completed March 27, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856e475348190a7c1e9872b513899 completed March 28, 2026, 10:32 p.m.
NEDg Description generation batch_69c857738e6881908abfce108d71efc0 completed March 28, 2026, 10:34 p.m.
NED2 Entity disambiguation (via description) batch_69c857e4a0408190b395389c6221e259 completed March 28, 2026, 10:36 p.m.
Created at: March 27, 2026, 3:51 p.m.