Triple
T6512047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Granato |
E150159
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Granato
Granato is an Italian surname borne by various notable individuals in sports and other fields.
|
E601970
|
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: Granato | Statement: [Don Granato, familyName, Granato]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Granato Context triple: [Don Granato, familyName, Granato]
-
A.
Comino
Comino is a small, sparsely populated Maltese island in the Mediterranean Sea, best known for its clear waters and the popular Blue Lagoon.
-
B.
Neri
Neri is an Italian surname most notably associated with Saint Philip Neri, a 16th-century Catholic priest and founder of the Congregation of the Oratory.
-
C.
Cerasus
Cerasus was an ancient Greek city on the Black Sea coast in the region of Pontus, known historically as a colonial settlement and trading port.
-
D.
Kassia
Kassia was a 9th-century Byzantine abbess, poet, and hymnographer renowned as one of the earliest and most important female composers in the Eastern Orthodox tradition.
-
E.
Saperavi
Saperavi is a dark-skinned Georgian wine grape variety, renowned for producing deeply colored, full-bodied red wines with high acidity and strong aging potential.
- 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: Granato Triple: [Don Granato, familyName, Granato]
Generated description
Granato is an Italian surname borne by various notable individuals in sports and other fields.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Granato Target entity description: Granato is an Italian surname borne by various notable individuals in sports and other fields.
-
A.
Comino
Comino is a small, sparsely populated Maltese island in the Mediterranean Sea, best known for its clear waters and the popular Blue Lagoon.
-
B.
Neri
Neri is an Italian surname most notably associated with Saint Philip Neri, a 16th-century Catholic priest and founder of the Congregation of the Oratory.
-
C.
Cerasus
Cerasus was an ancient Greek city on the Black Sea coast in the region of Pontus, known historically as a colonial settlement and trading port.
-
D.
Kassia
Kassia was a 9th-century Byzantine abbess, poet, and hymnographer renowned as one of the earliest and most important female composers in the Eastern Orthodox tradition.
-
E.
Saperavi
Saperavi is a dark-skinned Georgian wine grape variety, renowned for producing deeply colored, full-bodied red wines with high acidity and strong aging potential.
- 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_69c687ef291081909d437f035eef1cda |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c69f3c5eb88190a56723acd8096dd8 |
completed | March 27, 2026, 3:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cb6421748190b8f2b77c77b153bc |
completed | March 27, 2026, 6:24 p.m. |
| NEDg | Description generation | batch_69c6cd049fac81908c955caa0ccac5ba |
completed | March 27, 2026, 6:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6ce00096c8190a3015bcd392e0ce4 |
completed | March 27, 2026, 6:35 p.m. |
Created at: March 27, 2026, 1:44 p.m.