Triple
T1809691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luca |
E40302
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Luca Paguro
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."
|
E202441
|
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: Luca Paguro | Statement: [Luca, mainCharacter, Luca Paguro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luca Paguro Context triple: [Luca, mainCharacter, Luca Paguro]
-
A.
Paolo
Paolo is the Italian form of the given name Paul, commonly used in Italy and other Italian-speaking communities.
-
B.
Pasquale
Pasquale is an Italian masculine given name, traditionally associated with figures of Corsican and Italian heritage such as Pasquale Paoli.
-
C.
Riggo
Riggo is the nickname of John Riggins, a Hall of Fame NFL running back best known for his powerful rushing style with the Washington Redskins.
-
D.
Marcello
Marcello is a masculine given name of Italian origin, commonly used in Italy and other Romance-language countries.
-
E.
Gabriele Capone
Gabriele Capone was an Italian immigrant barber and the father of notorious American gangster Al Capone.
- 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: Luca Paguro Triple: [Luca, mainCharacter, Luca Paguro]
Generated description
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."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Luca Paguro Target entity description: 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."
-
A.
Paolo
Paolo is the Italian form of the given name Paul, commonly used in Italy and other Italian-speaking communities.
-
B.
Pasquale
Pasquale is an Italian masculine given name, traditionally associated with figures of Corsican and Italian heritage such as Pasquale Paoli.
-
C.
Riggo
Riggo is the nickname of John Riggins, a Hall of Fame NFL running back best known for his powerful rushing style with the Washington Redskins.
-
D.
Marcello
Marcello is a masculine given name of Italian origin, commonly used in Italy and other Romance-language countries.
-
E.
Gabriele Capone
Gabriele Capone was an Italian immigrant barber and the father of notorious American gangster Al Capone.
- 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_69a88643a3388190a612f2ebe1fb29e7 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa65c310d88190bfd9c27fa238e648 |
completed | March 6, 2026, 5:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adb5e352d88190839cde25e3c07d95 |
completed | March 8, 2026, 5:46 p.m. |
| NEDg | Description generation | batch_69adb8b6d160819096dc02323049101d |
completed | March 8, 2026, 5:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adb9bafd688190a66a835c6a8163e3 |
completed | March 8, 2026, 6:02 p.m. |
Created at: March 4, 2026, 7:32 p.m.