Triple

T2809481
Position Surface form Disambiguated ID Type / Status
Subject Pietro Nenni E54132 entity
Predicate givenName P17 FINISHED
Object Pietro E29219 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: Pietro | Statement: [Pietro Nenni, givenName, Pietro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pietro
Context triple: [Pietro Nenni, givenName, Pietro]
  • A. Pietro chosen
    Pietro is the Italian given name equivalent to "Peter," commonly used in Italy and among Italian-speaking communities.
  • B. Paolo
    Paolo is the Italian form of the given name Paul, commonly used 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 is the birth name of Pope Pius IX, the 19th-century head of the Catholic Church and the longest-reigning elected pope.
  • 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_69ab49dcee188190b5c6eca9ae9e3469 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde3165b48190a43be5e6ad23deca completed March 7, 2026, 8:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69b055cd4e1c8190a2eb97e648aa0080 completed March 10, 2026, 5:33 p.m.
Created at: March 6, 2026, 9:59 p.m.