Triple
T3193194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roxana |
E66871
|
entity |
| Predicate | isDistinctFrom |
P1612
|
FINISHED |
| Object | Roxanne (as a specific spelling) |
E62977
|
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: Roxanne (as a specific spelling) | Statement: [Roxana, isDistinctFrom, Roxanne (as a specific spelling)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roxanne (as a specific spelling) Context triple: [Roxana, isDistinctFrom, Roxanne (as a specific spelling)]
-
A.
Roxanne
chosen
Roxanne is a 1987 romantic comedy film starring Steve Martin, loosely based on the play Cyrano de Bergerac.
-
B.
Rox
Rox is a diminutive given name, typically used as a short form of Roxane or Roxanne.
-
C.
Ruxience
Ruxience is a biosimilar monoclonal antibody to rituximab used in the treatment of certain cancers and autoimmune diseases.
-
D.
Philippa
Philippa was a medieval European queen consort, most famously Philippa of Hainault, wife of King Edward III of England.
-
E.
Sloane
Sloane is a surname historically associated with prominent American families, including members of the Vanderbilt lineage.
- 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.