Triple

T15591979
Position Surface form Disambiguated ID Type / Status
Subject Pier Luigi E374764 entity
Predicate hasVariant P455 FINISHED
Object Pier-Luigi E607554 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: Pier-Luigi | Statement: [Pier Luigi, hasVariant, Pier-Luigi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pier-Luigi
Context triple: [Pier Luigi, hasVariant, Pier-Luigi]
  • A. Pierluigi chosen
    Pierluigi is the family name of the renowned Renaissance composer Giovanni Pierluigi da Palestrina, a central figure in 16th-century sacred music.
  • B. Gian Luigi
    Gian Luigi is an Italian given name, typically a compound of "Gian" (a form of Giovanni) and "Luigi," borne by various notable figures in Italy.
  • C. Ludovico Rocca
    Ludovico Rocca was an Italian composer and conductor known for his operatic works in the early to mid-20th century.
  • D. Rinaldo Frattolillo
    Rinaldo Frattolillo is a contemporary artist whose work has been showcased by the influential Annina Nosei Gallery.
  • E. 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.
  • 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_69d85cce25008190b13b52745fbd719b completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e4b903c8190a35f9267cb38e721 completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56c5baac819099d53896f6a35d94 completed May 9, 2026, 3:46 p.m.
Created at: April 10, 2026, 4:12 a.m.