Triple

T22669061
Position Surface form Disambiguated ID Type / Status
Subject Jovanka E559871 entity
Predicate diminutiveOf P456 FINISHED
Object Jovan 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: Jovan | Statement: [Jovanka, diminutiveOf, Jovan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jovan
Context triple: [Jovanka, diminutiveOf, Jovan]
  • A. Jovan chosen
    Jovan is a masculine given name commonly used in South Slavic regions, equivalent to "John" in English.
  • B. Aleksandar
    Aleksandar is a masculine given name commonly used in Slavic countries, equivalent to Alexander.
  • C. Momir
    Momir is a masculine given name of Slavic origin, commonly used in countries such as Serbia and Montenegro.
  • D. Dragoljub
    Dragoljub is a masculine given name of Slavic origin, commonly used in Serbia and other South Slavic countries.
  • E. Branislav
    Branislav is a Slavic male given name, common in Central and Eastern Europe, typically interpreted to mean "glorious defender" or "protector of glory."
  • 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_69e2454a158c819093b8e35f5045efb6 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1781de1d48190947cb1bb9d0890d9 completed April 29, 2026, 3:16 a.m.
Created at: April 17, 2026, 3:09 p.m.