Triple
T3193165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roxana |
E66871
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Roxane |
E52073
|
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: Roxane | Statement: [Roxana, hasVariant, Roxane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roxane Context triple: [Roxana, hasVariant, Roxane]
-
A.
Roxane
Roxane is a historical figure traditionally identified as a daughter of Cyrus the Great, the founder of the Achaemenid Persian Empire.
-
B.
Roxane
chosen
Roxane is a feminine given name, best known today through figures such as writer and cultural critic Roxane Gay.
-
C.
Roxana
Roxana is a feminine given name of Persian origin, historically associated with figures such as the wife of Alexander the Great and later borne by various notable women.
-
D.
Cressida
Cressida is a character from medieval and Renaissance literature, most famously depicted in William Shakespeare’s tragedy "Troilus and Cressida" as the lover whose fidelity to Troilus is tested during the Trojan War.
-
E.
Leonora
Leonora is a remote mining town in Western Australia’s Goldfields-Esperance region, historically significant for its goldfields and outback heritage.
- 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_69b24ba8a8b48190824dac45e37217cc |
completed | March 12, 2026, 5:14 a.m. |
Created at: March 8, 2026, 3:07 p.m.