Triple

T20595076
Position Surface form Disambiguated ID Type / Status
Subject Matteo Bocelli E506029 entity
Predicate givenName P17 FINISHED
Object Matteo NE NERFINISHED

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: Matteo | Statement: [Matteo Bocelli, givenName, Matteo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matteo
Context triple: [Matteo Bocelli, givenName, Matteo]
  • A. Matteo chosen
    Matteo is the Italian given name equivalent to Matthew, commonly used in Italy and other Italian-speaking communities.
  • B. Mattia
    Mattia is an Italian given name, commonly used as a masculine first name in Italy and other Italian-speaking communities.
  • C. Giovanni
    Giovanni was the birth name of Pope Leo X, the influential early 16th-century head of the Catholic Church and a prominent patron of Renaissance art and culture.
  • D. Giovanni
    Giovanni Pico della Mirandola was a 15th-century Italian Renaissance philosopher best known for his "Oration on the Dignity of Man" and his ambitious attempt to reconcile diverse philosophical and religious traditions.
  • E. Giovanni
    Giovanni is the Italian form of the given name John, widely used in Italy and among Italian-speaking communities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4ba6ae88190af871e1f9522c704 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6aa1b1c6c8190a2d85e7a390fc6a5 completed April 20, 2026, 10:35 p.m.
Created at: April 16, 2026, 11:40 a.m.