Triple

T12971725
Position Surface form Disambiguated ID Type / Status
Subject Lorenzo Baldisseri E321413 entity
Predicate name P16 FINISHED
Object Lorenzo Baldisseri E321413 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 Baldisseri | Statement: [Lorenzo Baldisseri, name, Lorenzo Baldisseri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lorenzo Baldisseri
Context triple: [Lorenzo Baldisseri, name, Lorenzo Baldisseri]
  • A. Lorenzo Baldisseri chosen
    Lorenzo Baldisseri is an Italian cardinal of the Roman Catholic Church who served as Secretary General of the Synod of Bishops under Pope Francis.
  • B. Stefano della Bella
    Stefano della Bella was a 17th-century Italian printmaker and draftsman renowned for his highly detailed etchings, especially of landscapes, battles, and ornamental designs.
  • C. Lorenzo De Stefano
    Lorenzo De Stefano is a film editor best known for his work on the influential bodybuilding documentary "Pumping Iron."
  • D. Lorenzo Bartolini
    Lorenzo Bartolini is a fictional character from the romantic drama film "Letters to Juliet," serving as the long-lost love whom the protagonists search for in Italy.
  • E. Lorenzo Boturini Benaducci
    Lorenzo Boturini Benaducci was an 18th-century Italian antiquarian and historian known for his pioneering collection and study of pre-Hispanic Mexican manuscripts and indigenous histories.
  • 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e418d548190be1c73db76cb3aa8 completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f73053a1888190a234e8c119a4202a completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 8:36 p.m.