Triple

T8550941
Position Surface form Disambiguated ID Type / Status
Subject Luca Paguro E202441 entity
Predicate familyMember P566 FINISHED
Object 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.
 E741432 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: Lorenzo Paguro | Statement: [Luca Paguro, familyMember, Lorenzo Paguro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lorenzo Paguro
Context triple: [Luca Paguro, familyMember, Lorenzo Paguro]
  • A. 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."
  • B. Paolo
    Paolo is the Italian form of the given name Paul, commonly used in Italy and other Italian-speaking communities.
  • C. Pierfrancesco
    Pierfrancesco is an Italian masculine given name, most notably borne by acclaimed actor Pierfrancesco Favino.
  • D. Marino
    Marino is a surname most famously associated with Dan Marino, the Hall of Fame former NFL quarterback for the Miami Dolphins.
  • E. Marino
    Marino is a historic town in Italy’s Alban Hills near Rome, known for its wine production and annual grape festival.
  • 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: Lorenzo Paguro
Triple: [Luca Paguro, familyMember, Lorenzo Paguro]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lorenzo Paguro
Target entity description: 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.
  • A. 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."
  • B. Paolo
    Paolo is the Italian form of the given name Paul, commonly used in Italy and other Italian-speaking communities.
  • C. Pierfrancesco
    Pierfrancesco is an Italian masculine given name, most notably borne by acclaimed actor Pierfrancesco Favino.
  • D. Marino
    Marino is a surname most famously associated with Dan Marino, the Hall of Fame former NFL quarterback for the Miami Dolphins.
  • E. Marino
    Marino is a historic town in Italy’s Alban Hills near Rome, known for its wine production and annual grape festival.
  • 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_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_69ce6dc7f6fc8190addd5d2bbe1f4408 completed April 2, 2026, 1:23 p.m.
NEDg Description generation batch_69ce6f3f40708190a351600ec9f12ee4 completed April 2, 2026, 1:29 p.m.
NED2 Entity disambiguation (via description) batch_69ce703b74f8819093bda2d3e59f7e94 completed April 2, 2026, 1:33 p.m.
Created at: March 30, 2026, 6:19 p.m.