Triple

T12850638
Position Surface form Disambiguated ID Type / Status
Subject Aleksandar E307305 entity
Predicate hasScriptForm P5713 FINISHED
Object Aleksandar (Latin script) E307305 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: Aleksandar (Latin script) | Statement: [Aleksandar, hasScriptForm, Aleksandar (Latin script)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aleksandar (Latin script)
Context triple: [Aleksandar, hasScriptForm, Aleksandar (Latin script)]
  • A. Aleksandar chosen
    Aleksandar is a masculine given name commonly used in Slavic countries, equivalent to Alexander.
  • B. Kirill
    Kirill is a masculine given name of Slavic origin, commonly used in Russian-speaking and other Eastern European countries.
  • C. Kirill
    Kirill is a highly skilled Russian assassin and primary antagonist who relentlessly hunts Jason Bourne in the action thriller film "The Bourne Supremacy."
  • D. Alexandrovich
    Alexandrovich is the Russian patronymic indicating "son of Alexander," famously used in the full name of Tsar Nicholas II of Russia.
  • E. Preslav
    Preslav is an ancient Bulgarian city that served as a major medieval political and cultural capital of the First Bulgarian Empire and a key center of Slavic literacy and Orthodox Christianity.
  • 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_69d7bdf5e7cc8190be357278bc5ba3bb completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97020eacc81909357b3398d17dc49 completed April 10, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69ba5059c81908be3b8b371518f41 completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:36 p.m.