Triple
T19470830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John-Paul |
E487117
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Giampaolo
Giampaolo is an Italian given name, equivalent to the English name John-Paul.
|
E1378908
|
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: Giampaolo | Statement: [John-Paul, hasVariant, Giampaolo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Giampaolo Context triple: [John-Paul, hasVariant, Giampaolo]
-
A.
Claudio Bigagli
Claudio Bigagli is an Italian actor and director known for his work in film, television, and theater, particularly in Italian cinema from the 1980s onward.
-
B.
Renato Di Rossi
Renato Di Rossi is a central romantic character in the musical "Do I Hear a Waltz?", serving as the charming Italian love interest of the American protagonist.
-
C.
Gianluca Di Gennaro
Gianluca Di Gennaro is an Italian actor known for his roles in contemporary Italian cinema and television.
-
D.
Giancarlo Prete
Giancarlo Prete was an Italian actor known for his roles in 1970s and 1980s genre films, particularly crime and action movies.
-
E.
Gaetano Scirea
Gaetano Scirea was a legendary Italian footballer, renowned as one of the greatest and most elegant defenders in the sport’s history, particularly for his success with Juventus and the Italian national team.
- 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: Giampaolo Triple: [John-Paul, hasVariant, Giampaolo]
Generated description
Giampaolo is an Italian given name, equivalent to the English name John-Paul.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Giampaolo Target entity description: Giampaolo is an Italian given name, equivalent to the English name John-Paul.
-
A.
Claudio Bigagli
Claudio Bigagli is an Italian actor and director known for his work in film, television, and theater, particularly in Italian cinema from the 1980s onward.
-
B.
Renato Di Rossi
Renato Di Rossi is a central romantic character in the musical "Do I Hear a Waltz?", serving as the charming Italian love interest of the American protagonist.
-
C.
Gianluca Di Gennaro
Gianluca Di Gennaro is an Italian actor known for his roles in contemporary Italian cinema and television.
-
D.
Giancarlo Prete
Giancarlo Prete was an Italian actor known for his roles in 1970s and 1980s genre films, particularly crime and action movies.
-
E.
Gaetano Scirea
Gaetano Scirea was a legendary Italian footballer, renowned as one of the greatest and most elegant defenders in the sport’s history, particularly for his success with Juventus and the Italian national team.
- 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633e809008190b0021d41b99f9700 |
completed | April 20, 2026, 2:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07404dfcb881909ed1a7ac20b6461e |
completed | May 15, 2026, 3:48 p.m. |
| NEDg | Description generation | batch_6a0740ff37fc81908e68db633223fb9c |
completed | May 15, 2026, 3:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07424880e08190a582da18e3a6af19 |
completed | May 15, 2026, 3:56 p.m. |
Created at: April 10, 2026, 1:39 p.m.