Triple
T11475675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Giovanni |
E272018
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object |
Artaria
Artaria was a prominent Viennese music publishing house known for issuing works by major Classical-era composers such as Mozart and Haydn.
|
E927526
|
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: Artaria | Statement: [Don Giovanni, publisher, Artaria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Artaria Context triple: [Don Giovanni, publisher, Artaria]
-
A.
Artu
Artu is a diminutive or nickname form of the given name Arturo, commonly used in informal or affectionate contexts.
-
B.
Artés
Artés is a municipality in the comarca of Bages in Catalonia, Spain, known for its wine and cava production.
-
C.
Artsyz
Artsyz is a small town in southwestern Ukraine known for its agricultural surroundings and location within the historical region of Bessarabia.
-
D.
Maderna
Maderna is an Italian surname most notably associated with Bruno Maderna, a prominent 20th-century composer and conductor linked to the postwar avant-garde.
-
E.
Canova
Canova was a renowned Italian Neoclassical sculptor celebrated for his marble masterpieces depicting mythological and historical subjects.
- 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: Artaria Triple: [Don Giovanni, publisher, Artaria]
Generated description
Artaria was a prominent Viennese music publishing house known for issuing works by major Classical-era composers such as Mozart and Haydn.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Artaria Target entity description: Artaria was a prominent Viennese music publishing house known for issuing works by major Classical-era composers such as Mozart and Haydn.
-
A.
Artu
Artu is a diminutive or nickname form of the given name Arturo, commonly used in informal or affectionate contexts.
-
B.
Artés
Artés is a municipality in the comarca of Bages in Catalonia, Spain, known for its wine and cava production.
-
C.
Artsyz
Artsyz is a small town in southwestern Ukraine known for its agricultural surroundings and location within the historical region of Bessarabia.
-
D.
Maderna
Maderna is an Italian surname most notably associated with Bruno Maderna, a prominent 20th-century composer and conductor linked to the postwar avant-garde.
-
E.
Canova
Canova was a renowned Italian Neoclassical sculptor celebrated for his marble masterpieces depicting mythological and historical subjects.
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8294c8dc48190a515f83c99405a3b |
completed | April 9, 2026, 10:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5e965eebc8190822247b1abc13483 |
completed | April 20, 2026, 8:52 a.m. |
| NEDg | Description generation | batch_69e5f15a50b881908d0930021833ae74 |
completed | April 20, 2026, 9:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5f88f16748190826a7fc5d27019d7 |
completed | April 20, 2026, 9:57 a.m. |
Created at: April 8, 2026, 9:36 p.m.