Triple

T23430813
Position Surface form Disambiguated ID Type / Status
Subject Fawzia E563323 entity
Predicate hasVariant P455 FINISHED
Object Fawziyya
Fawziyya is an Arabic feminine given name, a variant of Fawzia, generally associated with meanings of success and victory.
E1589305 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: Fawziyya | Statement: [Fawzia, hasVariant, Fawziyya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fawziyya
Context triple: [Fawzia, hasVariant, Fawziyya]
  • A. Asmaa
    Asmaa is a feminine given name of Arabic origin commonly used in many Muslim-majority countries.
  • B. Fahdah
    Fahdah is a Saudi princess, formally known as Princess Fahdah Mohammed Abunayyan, associated with the Saudi royal family.
  • C. Sharifa
    Sharifa is an honorific title used in Islamic tradition for a noblewoman descended from the Prophet Muhammad.
  • D. Fadila of Egypt
    Fadila of Egypt is the former wife of Egypt’s last king, Fuad II, and a member of the deposed Egyptian royal family.
  • E. Fathia
    Fathia was an Egyptian-born teacher and the First Lady of Ghana as the wife of its first president, Kwame Nkrumah.
  • 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: Fawziyya
Triple: [Fawzia, hasVariant, Fawziyya]
Generated description
Fawziyya is an Arabic feminine given name, a variant of Fawzia, generally associated with meanings of success and victory.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fawziyya
Target entity description: Fawziyya is an Arabic feminine given name, a variant of Fawzia, generally associated with meanings of success and victory.
  • A. Asmaa
    Asmaa is a feminine given name of Arabic origin commonly used in many Muslim-majority countries.
  • B. Fahdah
    Fahdah is a Saudi princess, formally known as Princess Fahdah Mohammed Abunayyan, associated with the Saudi royal family.
  • C. Sharifa
    Sharifa is an honorific title used in Islamic tradition for a noblewoman descended from the Prophet Muhammad.
  • D. Fadila of Egypt
    Fadila of Egypt is the former wife of Egypt’s last king, Fuad II, and a member of the deposed Egyptian royal family.
  • E. Fathia
    Fathia was an Egyptian-born teacher and the First Lady of Ghana as the wife of its first president, Kwame Nkrumah.
  • 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_69e24553980c8190bb66a2ae0bdab125 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a5d8130881909e4f3455afef1804 completed April 29, 2026, 6:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c82474ef88190b1e79a22471fae10 completed May 19, 2026, 3:31 p.m.
NEDg Description generation batch_6a0ca6eee2f48190b4e03039c4c96abe completed May 19, 2026, 6:07 p.m.
NED2 Entity disambiguation (via description) batch_6a0ca80db6288190ae99313c1f2485db completed May 19, 2026, 6:12 p.m.
Created at: April 17, 2026, 5:49 p.m.