Triple
T2901183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erich Wolfgang Korngold |
E62655
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Violanta
Violanta is a one-act opera by Erich Wolfgang Korngold, known for its lush late-Romantic score and psychologically intense drama set in Renaissance Venice.
|
E310091
|
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: Violanta | Statement: [Erich Wolfgang Korngold, notableWork, Violanta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Violanta Context triple: [Erich Wolfgang Korngold, notableWork, Violanta]
-
A.
Rosabella
Rosabella is the shy, kind-hearted waitress who becomes the central romantic heroine in Frank Loesser’s Broadway musical "The Most Happy Fella."
-
B.
Margareta
Margareta is a feminine given name used in various European languages, closely related to and derived from the name Margaret.
-
C.
Ricarda
Ricarda is a feminine given name, primarily used in German- and Spanish-speaking countries, derived from the male name Richard.
-
D.
Leonora
Leonora is a remote mining town in Western Australia’s Goldfields-Esperance region, historically significant for its goldfields and outback heritage.
-
E.
Leonora
Leonora is a feminine given name used in various cultures, often considered a variant of Eleanor or Leonore.
- 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: Violanta Triple: [Erich Wolfgang Korngold, notableWork, Violanta]
Generated description
Violanta is a one-act opera by Erich Wolfgang Korngold, known for its lush late-Romantic score and psychologically intense drama set in Renaissance Venice.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Violanta Target entity description: Violanta is a one-act opera by Erich Wolfgang Korngold, known for its lush late-Romantic score and psychologically intense drama set in Renaissance Venice.
-
A.
Rosabella
Rosabella is the shy, kind-hearted waitress who becomes the central romantic heroine in Frank Loesser’s Broadway musical "The Most Happy Fella."
-
B.
Margareta
Margareta is a feminine given name used in various European languages, closely related to and derived from the name Margaret.
-
C.
Ricarda
Ricarda is a feminine given name, primarily used in German- and Spanish-speaking countries, derived from the male name Richard.
-
D.
Leonora
Leonora is a remote mining town in Western Australia’s Goldfields-Esperance region, historically significant for its goldfields and outback heritage.
-
E.
Leonora
Leonora is a feminine given name used in various cultures, often considered a variant of Eleanor or Leonore.
- 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_69ab4c3e070c8190b78d3d2c005876dd |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abe0b261c081909b66b21520b4731b |
completed | March 7, 2026, 8:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0560300548190879d148ec1791e7a |
completed | March 10, 2026, 5:33 p.m. |
| NEDg | Description generation | batch_69b05e6fa8b481908b7bb9fbcf780aa8 |
completed | March 10, 2026, 6:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b0621fe39c819098839b585ebbdb10 |
completed | March 10, 2026, 6:25 p.m. |
Created at: March 6, 2026, 10:10 p.m.