Triple
T2830143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fyodor Bruni |
E62215
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Bruni
Bruni is a surname most notably associated with Fyodor Bruni, a 19th-century Russian-Italian painter known for his historical and religious works.
|
E302249
|
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: Bruni | Statement: [Fyodor Bruni, familyName, Bruni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bruni Context triple: [Fyodor Bruni, familyName, Bruni]
-
A.
Ludovica
Ludovica is an Italian feminine given name, traditionally associated with nobility and derived from the same Germanic roots as names like Louise and Ludwig.
-
B.
Jina Panebianco
Jina Panebianco is a film and television producer known for co-founding Passionflix, a streaming platform dedicated to romance content.
-
C.
Mornello
Mornello is a locality or frazione within the municipality of Cernobbio in the Province of Como, Lombardy, northern Italy.
-
D.
Paola
Paola is an Italian noblewoman who became Queen consort of Belgium as the wife of King Albert II.
-
E.
Paola
Paola is a town in southeastern Malta known for its historic sites, including the prehistoric Ħal Saflieni Hypogeum and other cultural landmarks.
- 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: Bruni Triple: [Fyodor Bruni, familyName, Bruni]
Generated description
Bruni is a surname most notably associated with Fyodor Bruni, a 19th-century Russian-Italian painter known for his historical and religious works.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bruni Target entity description: Bruni is a surname most notably associated with Fyodor Bruni, a 19th-century Russian-Italian painter known for his historical and religious works.
-
A.
Ludovica
Ludovica is an Italian feminine given name, traditionally associated with nobility and derived from the same Germanic roots as names like Louise and Ludwig.
-
B.
Jina Panebianco
Jina Panebianco is a film and television producer known for co-founding Passionflix, a streaming platform dedicated to romance content.
-
C.
Mornello
Mornello is a locality or frazione within the municipality of Cernobbio in the Province of Como, Lombardy, northern Italy.
-
D.
Paola
Paola is an Italian noblewoman who became Queen consort of Belgium as the wife of King Albert II.
-
E.
Paola
Paola is a town in southeastern Malta known for its historic sites, including the prehistoric Ħal Saflieni Hypogeum and other cultural landmarks.
- 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_69ab4c3c39188190955b9c49d98463d8 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdebbde4881908dfa78e28c7018e0 |
completed | March 7, 2026, 8:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afceb771d48190a1467a6e58f756ad |
completed | March 10, 2026, 7:56 a.m. |
| NEDg | Description generation | batch_69afd21bf66481909d0416cf591fc2cf |
completed | March 10, 2026, 8:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afd28839a881909c758e2ea202242a |
completed | March 10, 2026, 8:12 a.m. |
Created at: March 6, 2026, 10:01 p.m.