Triple

T18561813
Position Surface form Disambiguated ID Type / Status
Subject Ambrogio Lorenzetti E453658 entity
Predicate givenName P17 FINISHED
Object Ambrogio 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: Ambrogio | Statement: [Ambrogio Lorenzetti, givenName, Ambrogio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ambrogio
Context triple: [Ambrogio Lorenzetti, givenName, Ambrogio]
  • A. Ambrogio chosen
    Ambrogio is an Italian given name, historically borne by notable figures such as generals, artists, and saints.
  • B. Giacinto
    Giacinto is an Italian masculine given name of Latin origin, traditionally associated with the name Hyacinth.
  • C. Ilario
    Ilario is a given name, primarily used in Italian and Spanish contexts, that derives from the Latin name Hilaris meaning "cheerful" or "joyful."
  • D. Ignazio
    Ignazio is an Italian given name, cognate to Ignacy and typically associated with the Latin-rooted names Ignatius and Ignacio.
  • E. Ariberto
    Ariberto is an Italian given name, historically borne by medieval nobles and church figures, and used as a variant of the name Aribert.
  • 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_69d8d38974308190a9174430ef256b73 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5380a46f08190afe7ca2ddfe209d5 completed April 19, 2026, 8:16 p.m.
Created at: April 10, 2026, 11:42 a.m.