Triple
T23430814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fawzia |
E563323
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Fauzia |
—
|
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: Fauzia | Statement: [Fawzia, hasVariant, Fauzia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fauzia Context triple: [Fawzia, hasVariant, Fauzia]
-
A.
Fawzia
chosen
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.
-
B.
Fadilla
Fadilla, formally Annia Aurelia Fadilla, was a Roman noblewoman of the 2nd century and daughter of Emperor Marcus Aurelius.
-
C.
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.
-
D.
Farzana
Farzana is an individual known primarily as the spouse of Hassan.
-
E.
Najihah
Najihah is a feminine given name of Malay origin, notably borne by Tuanku Najihah, a former royal consort and Raja Permaisuri Agong of Malaysia.
- 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.