Triple
T4804978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna Netrebko |
E106924
|
entity |
| Predicate | notableRole |
P22
|
FINISHED |
| Object |
Donna Anna
Donna Anna is a principal soprano role in Mozart’s opera "Don Giovanni," known for its dramatic intensity and vocal virtuosity.
|
E468746
|
NE FINISHED |
How this triple was built (4 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: Donna Anna | Statement: [Anna Netrebko, notableRole, Donna Anna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donna Anna Context triple: [Anna Netrebko, notableRole, Donna Anna]
-
A.
Emilia Galotti
Emilia Galotti is an 18th-century bourgeois tragedy by Gotthold Ephraim Lessing that critiques absolutist power and social hierarchy through the story of a virtuous young woman destroyed by a corrupt prince.
-
B.
Caterina
Caterina is an Italian given name, equivalent to Catherine, commonly used for women in Italian-speaking and related cultures.
-
C.
Caterina Tezio
Caterina Tezio was the wife of renowned Italian Baroque sculptor and architect Gian Lorenzo Bernini.
-
D.
Verena
Verena is a feminine given name of Latin origin, commonly used in German-speaking and other European countries.
-
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. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Donna Anna Triple: [Anna Netrebko, notableRole, Donna Anna]
Generated description
Donna Anna is a principal soprano role in Mozart’s opera "Don Giovanni," known for its dramatic intensity and vocal virtuosity.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Donna Anna Target entity description: Donna Anna is a principal soprano role in Mozart’s opera "Don Giovanni," known for its dramatic intensity and vocal virtuosity.
-
A.
Emilia Galotti
Emilia Galotti is an 18th-century bourgeois tragedy by Gotthold Ephraim Lessing that critiques absolutist power and social hierarchy through the story of a virtuous young woman destroyed by a corrupt prince.
-
B.
Caterina
Caterina is an Italian given name, equivalent to Catherine, commonly used for women in Italian-speaking and related cultures.
-
C.
Caterina Tezio
Caterina Tezio was the wife of renowned Italian Baroque sculptor and architect Gian Lorenzo Bernini.
-
D.
Verena
Verena is a feminine given name of Latin origin, commonly used in German-speaking and other European countries.
-
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. chosen
Provenance (5 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_69bd43f6a1e08190bf0a372bfc336ee5 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6c664c3c81908e4d9a7c8c19744b |
completed | March 20, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4403ef888190b41c9a0db6bf47aa |
completed | March 21, 2026, 7:08 a.m. |
| NEDg | Description generation | batch_69be44df4e808190bb65ea205446a98f |
completed | March 21, 2026, 7:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be45be5c0c8190b414d321b34a4784 |
completed | March 21, 2026, 7:16 a.m. |
Created at: March 20, 2026, 1:23 p.m.