Triple

T18686748
Position Surface form Disambiguated ID Type / Status
Subject Luciano Fabro E456886 entity
Predicate familyName P18 FINISHED
Object Fabro 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: Fabro | Statement: [Luciano Fabro, familyName, Fabro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fabro
Context triple: [Luciano Fabro, familyName, Fabro]
  • A. Fabro
    Fabro is a small Italian town in the Umbria region known for its medieval historic center and hilltop setting.
  • B. Dalmine
    Dalmine is an industrial town in northern Italy known for its steel production and manufacturing activities.
  • C. Founex
    Founex is a small Swiss municipality on Lake Geneva in the canton of Vaud, known for its residential character and proximity to Geneva.
  • D. Meco
    Meco is a municipality in central Spain’s Community of Madrid, known for its location in the Henares Corridor near Alcalá de Henares.
  • E. Farber chosen
    Farber is a surname most notably associated with Sidney Farber, a pioneering American pathologist often called the father of modern chemotherapy.
  • 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_69d8d391eb488190ac2e9abf5bf255e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e55b2d9a24819098c8e963ee430437 completed April 19, 2026, 10:46 p.m.
Created at: April 10, 2026, 11:49 a.m.