Triple
T17665228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piero Malvestiti |
E440360
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Malvestiti
Malvestiti is an Italian surname most notably associated with Piero Malvestiti, a mid-20th-century Italian politician and European statesman.
|
E1280870
|
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: Malvestiti | Statement: [Piero Malvestiti, familyName, Malvestiti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malvestiti Context triple: [Piero Malvestiti, familyName, Malvestiti]
-
A.
Laterza
Laterza is a town and comune in the Apulia region of southern Italy, known for its historic center, traditional ceramics, and proximity to the Gravina di Laterza canyon.
-
B.
Mirandolesi
Mirandolesi are the inhabitants or natives of Mirandola, a town in the Emilia-Romagna region of northern Italy.
-
C.
Caselotti
Caselotti is an Italian surname most notably associated with Adriana Caselotti, the original voice of Snow White in Disney’s 1937 animated film.
-
D.
Mazzantini
Mazzantini is an Italian surname most notably borne by the contemporary novelist and actress Margaret Mazzantini.
-
E.
Mesoraca
Mesoraca is a town in the Calabria region of southern Italy, historically notable as the birthplace of Pope Zosimus.
- 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: Malvestiti Triple: [Piero Malvestiti, familyName, Malvestiti]
Generated description
Malvestiti is an Italian surname most notably associated with Piero Malvestiti, a mid-20th-century Italian politician and European statesman.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Malvestiti Target entity description: Malvestiti is an Italian surname most notably associated with Piero Malvestiti, a mid-20th-century Italian politician and European statesman.
-
A.
Laterza
Laterza is a town and comune in the Apulia region of southern Italy, known for its historic center, traditional ceramics, and proximity to the Gravina di Laterza canyon.
-
B.
Mirandolesi
Mirandolesi are the inhabitants or natives of Mirandola, a town in the Emilia-Romagna region of northern Italy.
-
C.
Caselotti
Caselotti is an Italian surname most notably associated with Adriana Caselotti, the original voice of Snow White in Disney’s 1937 animated film.
-
D.
Mazzantini
Mazzantini is an Italian surname most notably borne by the contemporary novelist and actress Margaret Mazzantini.
-
E.
Mesoraca
Mesoraca is a town in the Calabria region of southern Italy, historically notable as the birthplace of Pope Zosimus.
- 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46ea8accc8190beea0900b0614020 |
completed | April 19, 2026, 5:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02165e842c8190bb28bd8a4b1438ad |
completed | May 11, 2026, 5:48 p.m. |
| NEDg | Description generation | batch_6a021838dae081908bdd74733bb272ee |
completed | May 11, 2026, 5:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0218ba7f14819097e07caccdf8ff83 |
completed | May 11, 2026, 5:58 p.m. |
Created at: April 10, 2026, 9:56 a.m.