Triple
T11590379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Così fan tutte |
E274863
|
entity |
| Predicate | principalCharacter |
P9202
|
FINISHED |
| Object |
Don Alfonso
Don Alfonso is the cynical, manipulative philosopher in Mozart’s opera "Così fan tutte" who orchestrates a wager to test the fidelity of two young women.
|
E934171
|
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: Don Alfonso | Statement: [Così fan tutte, principalCharacter, Don Alfonso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Don Alfonso Context triple: [Così fan tutte, principalCharacter, Don Alfonso]
-
A.
Alfonso Santacana
Alfonso Santacana was a film editor best known for his work on the 1964 science fiction horror film "The Last Man on Earth."
-
B.
Alfrédo
Alfrédo is a given name, likely a variant or cognate of "Alfred" or "Alfredo," used as a personal male first name in various languages.
-
C.
Alvarito
Alvarito is a Spanish diminutive form of the given name Álvaro, typically used as an affectionate nickname.
-
D.
Elicio
Elicio is a shepherd and one of the principal pastoral protagonists in Miguel de Cervantes’ early novel "La Galatea."
-
E.
Don Benito
Don Benito is a town in the province of Badajoz, in Spain’s Extremadura region, known for its agricultural economy and close association with the nearby town of Villanueva de la Serena.
- 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: Don Alfonso Triple: [Così fan tutte, principalCharacter, Don Alfonso]
Generated description
Don Alfonso is the cynical, manipulative philosopher in Mozart’s opera "Così fan tutte" who orchestrates a wager to test the fidelity of two young women.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Don Alfonso Target entity description: Don Alfonso is the cynical, manipulative philosopher in Mozart’s opera "Così fan tutte" who orchestrates a wager to test the fidelity of two young women.
-
A.
Alfonso Santacana
Alfonso Santacana was a film editor best known for his work on the 1964 science fiction horror film "The Last Man on Earth."
-
B.
Alfrédo
Alfrédo is a given name, likely a variant or cognate of "Alfred" or "Alfredo," used as a personal male first name in various languages.
-
C.
Alvarito
Alvarito is a Spanish diminutive form of the given name Álvaro, typically used as an affectionate nickname.
-
D.
Elicio
Elicio is a shepherd and one of the principal pastoral protagonists in Miguel de Cervantes’ early novel "La Galatea."
-
E.
Don Benito
Don Benito is a town in the province of Badajoz, in Spain’s Extremadura region, known for its agricultural economy and close association with the nearby town of Villanueva de la Serena.
- 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_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. |
| NEDg | Description generation | batch_69e720fc0f38819083bd15169f2ce4bb |
completed | April 21, 2026, 7:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e72353c19c8190b7a579e9af823872 |
completed | April 21, 2026, 7:12 a.m. |
Created at: April 8, 2026, 9:38 p.m.