Triple
T14098071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roksana |
E339306
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Roxanne |
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 | Statement: [Roksana, hasVariant, Roxanne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roxanne Context triple: [Roksana, hasVariant, Roxanne]
-
A.
Roxanne
chosen
Roxanne is a 1987 romantic comedy film starring Steve Martin, loosely based on the play Cyrano de Bergerac.
-
B.
Edelweiss
Edelweiss is a high-altitude white mountain flower native to the Alps and other European ranges, often symbolizing purity, rugged beauty, and alpine heritage.
-
C.
Edelweiss
"Edelweiss" is a gentle, nostalgic song from the musical *The Sound of Music*, widely recognized as one of Richard Rodgers and Oscar Hammerstein II’s most beloved compositions.
-
D.
White Horse
"White Horse" is a country-pop ballad by Taylor Swift that explores themes of heartbreak and disillusionment in romantic fairy-tale expectations.
-
E.
For the Roses
For the Roses is a 1972 studio album by Canadian singer-songwriter Joni Mitchell that bridges her early folk style with more complex, jazz-influenced compositions and introspective lyrics.
- 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_69d81c69b5c8819094aa1abf18302908 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5fb926288190a7f0f50d1d585d76 |
completed | April 14, 2026, 3:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd0adfc28819097a1bfd56739c286 |
completed | May 7, 2026, 5:49 p.m. |
Created at: April 9, 2026, 10:22 p.m.