Triple

T21595328
Position Surface form Disambiguated ID Type / Status
Subject Loren E532883 entity
Predicate isRelatedName P3889 FINISHED
Object Lorenzo 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: Lorenzo | Statement: [Loren, isRelatedName, Lorenzo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lorenzo
Context triple: [Loren, isRelatedName, 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. Lorenzo
    Lorenzo is a small town located in Crosby County in the U.S. state of Texas.
  • C. Piero
    Piero was a common given name among members of the powerful Medici family that ruled Florence during the Renaissance.
  • 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 (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_69e0c46251648190876f0427cf2d321b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eefae07e388190baf1d67852c7e5db completed April 27, 2026, 5:57 a.m.
Created at: April 16, 2026, 6:32 p.m.