Triple
T7396781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paolone |
E170640
|
entity |
| Predicate | relatedName |
P3889
|
FINISHED |
| Object |
Paolino
Paolino is an Italian given name and surname, typically a diminutive form of Paolo used for people and occasionally for places or cultural references.
|
E661240
|
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: Paolino | Statement: [Paolone, relatedName, Paolino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paolino Context triple: [Paolone, relatedName, Paolino]
-
A.
Norberto
Norberto is an Italian given name most notably borne by the influential legal and political philosopher Norberto Bobbio.
-
B.
Silvano
Silvano is an Italian given name, related to Silvio, traditionally associated with the Latin name Silvanus meaning "of the forest" or "woodland."
-
C.
Timoteo
Timoteo is a masculine given name, commonly used in Romance-language countries, derived from the biblical name Timothy.
-
D.
Ignazio
Ignazio is an Italian given name, cognate to Ignacy and typically associated with the Latin-rooted names Ignatius and Ignacio.
-
E.
Gregorio
Gregorio is a masculine given name of Latin origin, commonly used in Spanish and Italian-speaking cultures and derived from the name Gregory.
- 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: Paolino Triple: [Paolone, relatedName, Paolino]
Generated description
Paolino is an Italian given name and surname, typically a diminutive form of Paolo used for people and occasionally for places or cultural references.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Paolino Target entity description: Paolino is an Italian given name and surname, typically a diminutive form of Paolo used for people and occasionally for places or cultural references.
-
A.
Norberto
Norberto is an Italian given name most notably borne by the influential legal and political philosopher Norberto Bobbio.
-
B.
Silvano
Silvano is an Italian given name, related to Silvio, traditionally associated with the Latin name Silvanus meaning "of the forest" or "woodland."
-
C.
Timoteo
Timoteo is a masculine given name, commonly used in Romance-language countries, derived from the biblical name Timothy.
-
D.
Ignazio
Ignazio is an Italian given name, cognate to Ignacy and typically associated with the Latin-rooted names Ignatius and Ignacio.
-
E.
Gregorio
Gregorio is a masculine given name of Latin origin, commonly used in Spanish and Italian-speaking cultures and derived from the name Gregory.
- 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_69c68a5f04188190ac266569c9280347 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f248f79c819094b1d1e2c3d511d1 |
completed | March 27, 2026, 9:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81101dd448190bcf221f7625c9d34 |
completed | March 28, 2026, 5:33 p.m. |
| NEDg | Description generation | batch_69c811b681b48190a5161871f1f400f9 |
completed | March 28, 2026, 5:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8122513d88190ab12f649e8d0d59b |
completed | March 28, 2026, 5:38 p.m. |
Created at: March 27, 2026, 3:09 p.m.