Triple

T12156694
Position Surface form Disambiguated ID Type / Status
Subject Lorenzo Mavilis E289592 entity
Predicate givenName P17 FINISHED
Object Lorenzo E145530 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: Lorenzo | Statement: [Lorenzo Mavilis, givenName, Lorenzo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lorenzo
Context triple: [Lorenzo Mavilis, givenName, Lorenzo]
  • A. Lorenzo chosen
    Lorenzo is a masculine given name of Italian origin, historically borne by notable figures such as the Renaissance humanist Lorenzo Valla.
  • B. Piero
    Piero was a common given name among members of the powerful Medici family that ruled Florence during the Renaissance.
  • C. Giovanni
    Giovanni is a Brazilian attacking midfielder best known for his creative playmaking and successful spell at Santos FC in the 1990s.
  • D. 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.
  • E. Giovanni
    Giovanni is the birth name of Pope Pius IX, the 19th-century head of the Catholic Church and the longest-reigning elected pope.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915c1673c8190830cd15525d16869 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64b85782481908cca14d8e8345411 completed May 2, 2026, 7:07 p.m.
Created at: April 8, 2026, 9:50 p.m.