Triple
T23430816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fawzia |
E563323
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Fowziya |
—
|
NE NERFINISHED |
How this triple was built (2 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: Fowziya | Statement: [Fawzia, hasVariant, Fowziya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fowziya Context triple: [Fawzia, hasVariant, Fowziya]
-
A.
Hadiya
Hadiya is a Cushitic ethnic group primarily living in southern Ethiopia, known for their distinct language and cultural traditions.
-
B.
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.
-
C.
Fawziyya
chosen
Fawziyya is an Arabic feminine given name, a variant of Fawzia, generally associated with meanings of success and victory.
-
D.
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.
-
E.
Omran
Omran is a transliterated given name of Arabic origin, commonly rendered from the name Imrān and used across various Muslim-majority cultures.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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. |
Created at: April 17, 2026, 5:49 p.m.