Triple

T1809693
Position Surface form Disambiguated ID Type / Status
Subject Luca E40302 entity
Predicate mainCharacter P1183 FINISHED
Object Giulia Marcovaldo
Giulia Marcovaldo is a spirited, adventurous human girl who befriends the sea monster boys in Pixar’s animated film "Luca" and helps them explore life on land.
E209468 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: Giulia Marcovaldo | Statement: [Luca, mainCharacter, Giulia Marcovaldo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Giulia Marcovaldo
Context triple: [Luca, mainCharacter, Giulia Marcovaldo]
  • A. 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.
  • B. Paolo
    Paolo is the Italian form of the given name Paul, commonly used in Italy and other Italian-speaking communities.
  • C. Marcello
    Marcello is a masculine given name of Italian origin, commonly used in Italy and other Romance-language countries.
  • D. Pietro
    Pietro is the Italian given name equivalent to "Peter," commonly used in Italy and among Italian-speaking communities.
  • E. Enrico
    Enrico is the given name of Enrico Fermi, the renowned Italian-American physicist who helped develop the first nuclear reactor and made foundational contributions to quantum theory and nuclear physics.
  • 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: Giulia Marcovaldo
Triple: [Luca, mainCharacter, Giulia Marcovaldo]
Generated description
Giulia Marcovaldo is a spirited, adventurous human girl who befriends the sea monster boys in Pixar’s animated film "Luca" and helps them explore life on land.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Giulia Marcovaldo
Target entity description: Giulia Marcovaldo is a spirited, adventurous human girl who befriends the sea monster boys in Pixar’s animated film "Luca" and helps them explore life on land.
  • A. 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.
  • B. Paolo
    Paolo is the Italian form of the given name Paul, commonly used in Italy and other Italian-speaking communities.
  • C. Marcello
    Marcello is a masculine given name of Italian origin, commonly used in Italy and other Romance-language countries.
  • D. Pietro
    Pietro is the Italian given name equivalent to "Peter," commonly used in Italy and among Italian-speaking communities.
  • E. Enrico
    Enrico is the given name of Enrico Fermi, the renowned Italian-American physicist who helped develop the first nuclear reactor and made foundational contributions to quantum theory and nuclear physics.
  • 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_69addf3fd6bc81908b762644fb588f0a completed March 8, 2026, 8:42 p.m.
NEDg Description generation batch_69addfcecdf48190a325eb5c8b10f238 completed March 8, 2026, 8:45 p.m.
NED2 Entity disambiguation (via description) batch_69ade0ba34ac8190ac94f7dbb5778f70 completed March 8, 2026, 8:48 p.m.
Created at: March 4, 2026, 7:32 p.m.