Triple

T7295404
Position Surface form Disambiguated ID Type / Status
Subject Primaticcio E164508 entity
Predicate familyName P18 FINISHED
Object Primaticcio E164508 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: Primaticcio | Statement: [Primaticcio, familyName, Primaticcio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Primaticcio
Context triple: [Primaticcio, familyName, Primaticcio]
  • A. Primaticcio chosen
    Primaticcio was a prominent Italian Mannerist painter, sculptor, and architect active at the French court, known for helping shape the distinctive style of the School of Fontainebleau.
  • B. Pichini
    Pichini is a small locality (frazione) within the municipality of Guidonia Montecelio in the Lazio region of central Italy.
  • C. Tortorella
    Tortorella is the surname of John Tortorella, a prominent National Hockey League coach known for his fiery personality and defensive coaching style.
  • D. Carosino
    Carosino is a small town and comune in the Apulia region of southern Italy, known for its wine production and proximity to the city of Taranto.
  • E. Caterinella
    Caterinella is a feminine given name, likely used as an affectionate or diminutive variant of the name Caterina.
  • 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_69c6887a499881909dd23341399c59d8 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6eb8d0c6c8190b32cd08b9a5d96cc completed March 27, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e547c7b88190b792495efb3a215c completed March 28, 2026, 2:27 p.m.
Created at: March 27, 2026, 3 p.m.