Triple

T16102232
Position Surface form Disambiguated ID Type / Status
Subject Faiza Rauf E390648 entity
Predicate givenName P17 FINISHED
Object Faiza
Faiza is a feminine given name commonly used in Arabic-speaking and Muslim-majority cultures, often associated with meanings related to success or victory.
 E1196279 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: Faiza | Statement: [Faiza Rauf, givenName, Faiza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Faiza
Context triple: [Faiza Rauf, givenName, Faiza]
  • A. Farzana
    Farzana is an individual known primarily as the spouse of Hassan.
  • B. 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.
  • C. Zabiba
    Zabiba was the enslaved Ethiopian woman who became the mother of the famed pre-Islamic Arab poet and warrior Antarah ibn Shaddad.
  • D. Fawzia
    Fawzia is a feminine given name most famously borne by Princess Fawzia of Egypt, a 20th-century Egyptian royal and first wife of Iran’s Shah Mohammad Reza Pahlavi.
  • E. Rashidah
    Rashidah is a feminine given name of Arabic origin commonly used in Muslim communities.
  • 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: Faiza
Triple: [Faiza Rauf, givenName, Faiza]
Generated description
Faiza is a feminine given name commonly used in Arabic-speaking and Muslim-majority cultures, often associated with meanings related to success or victory.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Faiza
Target entity description: Faiza is a feminine given name commonly used in Arabic-speaking and Muslim-majority cultures, often associated with meanings related to success or victory.
  • A. Farzana
    Farzana is an individual known primarily as the spouse of Hassan.
  • B. 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.
  • C. Zabiba
    Zabiba was the enslaved Ethiopian woman who became the mother of the famed pre-Islamic Arab poet and warrior Antarah ibn Shaddad.
  • D. Fawzia
    Fawzia is a feminine given name most famously borne by Princess Fawzia of Egypt, a 20th-century Egyptian royal and first wife of Iran’s Shah Mohammad Reza Pahlavi.
  • E. Rashidah
    Rashidah is a feminine given name of Arabic origin commonly used in Muslim communities.
  • 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_69d87f1a8dd881909f1de6ef78849874 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1ff6976ec8190b499e99b196b0285 completed April 17, 2026, 9:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff29f9f2881909b96860ee23d8ada completed May 10, 2026, 2:51 a.m.
NEDg Description generation batch_69fff35ded288190b4d261358f1661cb completed May 10, 2026, 2:54 a.m.
NED2 Entity disambiguation (via description) batch_69fff3f2760c8190a58fedc2798614ae completed May 10, 2026, 2:56 a.m.
Created at: April 10, 2026, 5 a.m.