Triple

T21194205
Position Surface form Disambiguated ID Type / Status
Subject Jure Franko E522285 entity
Predicate familyName P18 FINISHED
Object Franko 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: Franko | Statement: [Jure Franko, familyName, Franko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Franko
Context triple: [Jure Franko, familyName, Franko]
  • A. Franko chosen
    Franko is the surname of Ivan Franko, a prominent Ukrainian writer, poet, and political activist.
  • B. Dario
    Dario is a masculine given name of Italian origin, commonly used in various European and Latin American countries.
  • C. Giorgio Maniace
    Giorgio Maniace was an 11th-century Byzantine general noted for his campaigns in southern Italy and Sicily against Arab and Norman forces.
  • D. Fermani
    Fermani are the inhabitants or natives of the Italian city of Fermo, located in the Marche region.
  • E. Stelio
    Stelio is the given name of Stelio Frati, an Italian aeronautical engineer and aircraft designer renowned for creating light, high-performance airplanes.
  • 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_69e0b51061388190aa03f19700d3ef04 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73339aaa081909d9009c58c386422 completed April 21, 2026, 8:20 a.m.
Created at: April 16, 2026, 3:08 p.m.