Triple
T4905624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aldo Rossi |
E109907
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Aldo
Aldo is a masculine given name of Italian origin, commonly used in Italy and other Romance-language countries.
|
E479030
|
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: Aldo | Statement: [Aldo Rossi, givenName, Aldo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aldo Context triple: [Aldo Rossi, givenName, Aldo]
-
A.
Gino
Gino is a masculine given name of Italian origin commonly used in Italy and among Italian communities worldwide.
-
B.
Rocco
Rocco is a Brazilian publishing house known for releasing major international bestsellers, including works like Paulo Coelho’s "The Alchemist."
-
C.
Rocco
Rocco is a central character in Beethoven’s opera "Fidelio," serving as the prison jailer whose actions and moral choices significantly influence the drama’s unfolding.
-
D.
Roberto
Roberto is a masculine given name commonly used in Romance-language countries, equivalent to the English name Robert.
-
E.
Altobelli
Altobelli is an Italian surname most notably associated with figures in professional baseball and football, including former MLB manager Joe Altobelli.
- 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: Aldo Triple: [Aldo Rossi, givenName, Aldo]
Generated description
Aldo is a masculine given name of Italian origin, commonly used in Italy and other Romance-language countries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aldo Target entity description: Aldo is a masculine given name of Italian origin, commonly used in Italy and other Romance-language countries.
-
A.
Gino
Gino is a masculine given name of Italian origin commonly used in Italy and among Italian communities worldwide.
-
B.
Rocco
Rocco is a Brazilian publishing house known for releasing major international bestsellers, including works like Paulo Coelho’s "The Alchemist."
-
C.
Rocco
Rocco is a central character in Beethoven’s opera "Fidelio," serving as the prison jailer whose actions and moral choices significantly influence the drama’s unfolding.
-
D.
Roberto
Roberto is a masculine given name commonly used in Romance-language countries, equivalent to the English name Robert.
-
E.
Altobelli
Altobelli is an Italian surname most notably associated with figures in professional baseball and football, including former MLB manager Joe Altobelli.
- 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_69bd441180708190ba42ffb44fea533a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e71a5c481909f5862bf497c3c9d |
completed | March 20, 2026, 3:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be6fdaaf588190a180d0bf5979c2d2 |
completed | March 21, 2026, 10:15 a.m. |
| NEDg | Description generation | batch_69be70b15c508190bcd723862b8e9633 |
completed | March 21, 2026, 10:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be7139a288819087598a7da8c6ad42 |
completed | March 21, 2026, 10:21 a.m. |
Created at: March 20, 2026, 1:29 p.m.