Triple
T8782352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jacob Tremblay |
E208759
|
entity |
| Predicate | role |
P268
|
FINISHED |
| Object | Luca Paguro in Luca |
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 in Luca | Statement: [Jacob Tremblay, role, Luca Paguro in Luca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luca Paguro in Luca Context triple: [Jacob Tremblay, role, Luca Paguro in Luca]
-
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.
Giovannino
Giovannino is an Italian given name, typically used as a diminutive form of Giovanni.
-
D.
Mr. Ray in Finding Nemo
Mr. Ray in Finding Nemo is the enthusiastic, manta ray schoolteacher who leads and educates Nemo and his classmates on underwater field trips.
-
E.
Renzo
Renzo is the given name of Renzo Piano, the renowned Italian architect known for designing landmark buildings such as the Centre Pompidou in Paris and The Shard in London.
- 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_69ca835fbee88190bf625939bac48d7f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f7155b081908891e84b704f0ebf |
completed | March 31, 2026, 11:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf51e9d97c8190a947848fdaa5b67d |
completed | April 3, 2026, 5:36 a.m. |
Created at: March 30, 2026, 6:42 p.m.