Triple

T8550981
Position Surface form Disambiguated ID Type / Status
Subject Alberto Scorfano E202442 entity
Predicate friendOf P8712 FINISHED
Object Giulia Marcovaldo E209468 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: Giulia Marcovaldo | Statement: [Alberto Scorfano, friendOf, Giulia Marcovaldo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Giulia Marcovaldo
Context triple: [Alberto Scorfano, friendOf, Giulia Marcovaldo]
  • A. Giulia Marcovaldo chosen
    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.
  • B. Stefano
    Stefano is the Italian given name corresponding to the Hungarian name István, commonly used as a male first name in Italy.
  • C. 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.
  • D. Fabrizio
    Fabrizio is an Italian masculine given name of Latin origin, commonly used in Italy and among Italian-speaking communities.
  • E. Paolo
    Paolo is the Italian form of the given name Paul, commonly used in Italy and other Italian-speaking communities.
  • 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_69cea868de6881908e87270a1fea0e4b completed April 2, 2026, 5:33 p.m.
Created at: March 30, 2026, 6:19 p.m.