Triple
T8550980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alberto Scorfano |
E202442
|
entity |
| Predicate | bestFriendOf |
P8712
|
FINISHED |
| Object | Luca Paguro |
E202441
|
NE FINISHED |
How this triple was built (2 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: Luca Paguro | Statement: [Alberto Scorfano, bestFriendOf, Luca Paguro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luca Paguro Context triple: [Alberto Scorfano, bestFriendOf, Luca Paguro]
-
A.
Luca Paguro
chosen
Luca Paguro is a young sea monster boy who transforms into a human on land and explores friendship and self-discovery in Pixar's animated film "Luca."
-
B.
Lorenzo Paguro
Lorenzo Paguro is a supporting character in Pixar's animated film "Luca," known as Luca's father and a cautious sea monster who worries about his son's safety.
-
C.
Giannino
Giannino is an Italian given name, commonly used as a familiar or affectionate form of Giovanni.
-
D.
Paolo
Paolo is the Italian form of the given name Paul, commonly used in Italy and other Italian-speaking communities.
-
E.
Luca Ferraro
Luca Ferraro is an individual notable enough to be recognized as a prominent bearer of the surname Ferraro.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca832610e08190b3b6c6cd2c250255 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe75589d8819096177ddbd3dafcb6 |
completed | March 31, 2026, 3:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce892efdf8819093c966bd8f6c8065 |
completed | April 2, 2026, 3:20 p.m. |
Created at: March 30, 2026, 6:19 p.m.