Triple
T3193179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roxana |
E66871
|
entity |
| Predicate | isCognateWith |
P2527
|
FINISHED |
| Object | Rukhsana |
E335439
|
NE FINISHED |
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: Rukhsana | Statement: [Roxana, isCognateWith, Rukhsana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rukhsana Context triple: [Roxana, isCognateWith, Rukhsana]
-
A.
Rukhsana
chosen
Rukhsana is a feminine given name, commonly used in South Asian and Muslim cultures, that is a variant of the name Roxana.
-
B.
Shabana
Shabana is a prominent Bangladeshi film actress renowned for her extensive and influential career in Bengali cinema.
-
C.
Sufiya Zinobia
Sufiya Zinobia is a central character in Salman Rushdie’s novel "Shame," symbolizing purity, repression, and the violent consequences of societal and familial pressures in a fictionalized Pakistan.
-
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.
Gauhar Ara Begum
Gauhar Ara Begum was a Mughal princess, the daughter of Emperor Shah Jahan and his famed consort Mumtaz Mahal, and a member of the imperial family during the empire’s zenith in 17th-century India.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad8588ba18819086a10951c32ecb80 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada713bf0c81908f3143f45f63a5ad |
completed | March 8, 2026, 4:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b262181a4c8190b31bbb6bd7bef436 |
completed | March 12, 2026, 6:50 a.m. |
Created at: March 8, 2026, 3:07 p.m.