Triple

T16236953
Position Surface form Disambiguated ID Type / Status
Subject Predrag E394139 entity
Predicate writtenInCyrillic P34124 FINISHED
Object Предраг E394139 NE FINISHED

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: Предраг | Statement: [Predrag, writtenInCyrillic, Предраг]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Предраг
Context triple: [Predrag, writtenInCyrillic, Предраг]
  • A. Predrag chosen
    Predrag is the given first name of former Serbian professional basketball player Peja Stojaković.
  • B. Predrag Radosavljević
    Predrag Radosavljević, better known as Preki, is a retired Serbian-American attacking midfielder and coach who starred in Major League Soccer and represented the United States national team.
  • C. Bogdan Jovović
    Bogdan Jovović is best known as the father of actress and model Milla Jovovich.
  • D. Radomir Kovač
    Radomir Kovač is a Bosnian Serb former paramilitary commander convicted by the International Criminal Tribunal for the former Yugoslavia for war crimes and crimes against humanity committed during the Bosnian War.
  • E. Petar
    Petar is a given name commonly used in Slavic countries, equivalent to the English name Peter.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2455bb23881909c4cb4c1439d2bc5 completed April 17, 2026, 2:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017ad3fa88190b71aa1e0c6414807 completed May 10, 2026, 5:29 a.m.
Created at: April 10, 2026, 5:04 a.m.