Triple

T18686747
Position Surface form Disambiguated ID Type / Status
Subject Luciano Fabro E456886 entity
Predicate givenName P17 FINISHED
Object Luciano 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: Luciano | Statement: [Luciano Fabro, givenName, Luciano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luciano
Context triple: [Luciano Fabro, givenName, Luciano]
  • A. Luciano chosen
    Luciano is a masculine given name of Italian origin, famously borne by the renowned operatic tenor Luciano Pavarotti.
  • B. Stelio
    Stelio is the given name of Stelio Frati, an Italian aeronautical engineer and aircraft designer renowned for creating light, high-performance airplanes.
  • C. Marcello
    Marcello is a masculine given name of Italian origin, commonly used in Italy and other Romance-language countries.
  • D. Luciano Emilio
    Luciano Emilio is a Brazilian former professional soccer forward best known for his prolific goal-scoring with D.C. United in Major League Soccer.
  • E. Antonio Contino
    Antonio Contino was a Venetian architect best known for designing the iconic Bridge of Sighs in Venice, Italy.
  • 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.