Triple
T21393650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vittorio Adorni |
E527721
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object |
Adorni
Adorni is an Italian surname most notably associated with Vittorio Adorni, a former professional road cyclist and 1965 Giro d'Italia winner.
|
E1482601
|
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: Adorni | Statement: [Vittorio Adorni, hasFamilyName, Adorni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adorni Context triple: [Vittorio Adorni, hasFamilyName, Adorni]
-
A.
Arielli
Arielli is a small Italian town and comune in the Abruzzo region, known for its rural landscape and wine production.
-
B.
Sorianello
Sorianello is a small town and comune in the Calabria region of southern Italy, situated within the Province of Vibo Valentia.
-
C.
Bahdini
Bahdini is a Northern Kurdish dialect spoken primarily in parts of Turkey and Iraq.
-
D.
Andruzzi
Andruzzi is an Italian-origin surname most notably associated with former NFL offensive lineman Joe Andruzzi.
-
E.
Alidoro
Alidoro is the wise philosopher and tutor to Prince Ramiro in Rossini’s opera "La Cenerentola," who secretly guides and protects Cinderella.
- 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: Adorni Triple: [Vittorio Adorni, hasFamilyName, Adorni]
Generated description
Adorni is an Italian surname most notably associated with Vittorio Adorni, a former professional road cyclist and 1965 Giro d'Italia winner.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Adorni Target entity description: Adorni is an Italian surname most notably associated with Vittorio Adorni, a former professional road cyclist and 1965 Giro d'Italia winner.
-
A.
Arielli
Arielli is a small Italian town and comune in the Abruzzo region, known for its rural landscape and wine production.
-
B.
Sorianello
Sorianello is a small town and comune in the Calabria region of southern Italy, situated within the Province of Vibo Valentia.
-
C.
Bahdini
Bahdini is a Northern Kurdish dialect spoken primarily in parts of Turkey and Iraq.
-
D.
Andruzzi
Andruzzi is an Italian-origin surname most notably associated with former NFL offensive lineman Joe Andruzzi.
-
E.
Alidoro
Alidoro is the wise philosopher and tutor to Prince Ramiro in Rossini’s opera "La Cenerentola," who secretly guides and protects Cinderella.
- 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_69e0b51ff3748190935c0a513c62a12b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b1165a508190a72c008117675711 |
completed | April 22, 2026, 11:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09bb4a9390819093f0ce34f96420ce |
completed | May 17, 2026, 12:57 p.m. |
| NEDg | Description generation | batch_6a09bea3994481908b7a782fd384603a |
completed | May 17, 2026, 1:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09bf9d2d508190a45847afa0d47337 |
completed | May 17, 2026, 1:16 p.m. |
Created at: April 16, 2026, 5:13 p.m.