Triple
T11590375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Così fan tutte |
E274863
|
entity |
| Predicate | principalCharacter |
P9202
|
FINISHED |
| Object | Dorabella |
E348141
|
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: Dorabella | Statement: [Così fan tutte, principalCharacter, Dorabella]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dorabella Context triple: [Così fan tutte, principalCharacter, Dorabella]
-
A.
Dorabella
chosen
Dorabella is a feminine given name, often considered a variant or elaboration of "Dorothy" or "Isabella."
-
B.
Henrietta Tyrrell
Henrietta Tyrrell was an artist linked to the early 20th-century British avant-garde Vorticist movement.
-
C.
Mrs Erlynne
Mrs Erlynne is a charming, socially ambitious woman with a scandalous past whose mysterious connection to the heroine drives the plot and themes of hypocrisy and redemption in Oscar Wilde’s play "Lady Windermere’s Fan."
-
D.
Helen Elliott
Helen Elliott was the wife of influential American psychologist Carl Rogers, supporting him throughout his career in developing client-centered therapy.
-
E.
Gwendolen
Gwendolen is the given name of Gwen Raverat, a notable British wood engraver and granddaughter of Charles Darwin.
- 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_69d6aae6b14c81908dc5a74bad7591f9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d894643ae48190837502b713f5b9c6 |
completed | April 10, 2026, 6:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e714634b308190bdcb761f8b6712e7 |
completed | April 21, 2026, 6:08 a.m. |
Created at: April 8, 2026, 9:38 p.m.