Triple

T14285229
Position Surface form Disambiguated ID Type / Status
Subject Matty E354152 entity
Predicate relatedName P3889 FINISHED
Object Matteo E354153 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: Matteo | Statement: [Matty, relatedName, Matteo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matteo
Context triple: [Matty, relatedName, Matteo]
  • A. Matteo chosen
    Matteo is the Italian given name equivalent to Matthew, commonly used in Italy and other Italian-speaking communities.
  • B. Giovanni
    Giovanni is a Brazilian attacking midfielder best known for his creative playmaking and successful spell at Santos FC in the 1990s.
  • 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 (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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de697ef40c8190bea37724b28c2e99 completed April 14, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd467f3b3081908261261301674c4e completed May 8, 2026, 2:12 a.m.
Created at: April 10, 2026, 1:10 a.m.