Triple

T19856156
Position Surface form Disambiguated ID Type / Status
Subject Ivo Josipović E477137 entity
Predicate name P16 FINISHED
Object Ivo Josipović 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: Ivo Josipović | Statement: [Ivo Josipović, name, Ivo Josipović]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ivo Josipović
Context triple: [Ivo Josipović, name, Ivo Josipović]
  • A. Ivo Josipović chosen
    Ivo Josipović is a Croatian jurist, composer, and politician who served as the country’s president from 2010 to 2015.
  • B. Ćiril Iveković
    Ćiril Iveković was a Croatian architect known for his historicist designs in the late 19th and early 20th centuries, contributing significantly to public and monumental architecture in the Austro-Hungarian period.
  • C. Bora Milutinović
    Bora Milutinović is a Serbian football coach renowned for leading five different national teams at five consecutive FIFA World Cups, often achieving surprising success with underdog sides.
  • D. Zlatko Grgić
    Zlatko Grgić was a Croatian animator and film director best known for his influential work in animated films produced by the Zagreb Film studio.
  • E. Branko Ivanković
    Branko Ivanković is a Croatian football manager known for coaching numerous club and national teams, particularly in Europe and Asia.
  • 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_69d8e51e7d948190aedbcd6c30361c39 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6586c14fc81908d34785f1088b0a9 completed April 20, 2026, 4:46 p.m.
Created at: April 10, 2026, 1:51 p.m.