Triple

T3684294
Position Surface form Disambiguated ID Type / Status
Subject Saint Prince Lazar E78186 entity
Predicate child P120 FINISHED
Object Olivera Lazarević E380160 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: Olivera Lazarević | Statement: [Saint Prince Lazar, child, Olivera Lazarević]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olivera Lazarević
Context triple: [Saint Prince Lazar, child, Olivera Lazarević]
  • A. Petar Nedeljković
    Petar Nedeljković was a Yugoslav military officer who served as a commander in the Royal Yugoslav Army during the German invasion of Yugoslavia in World War II.
  • B. Dušan Simović
    Dušan Simović was a Yugoslav general and politician who led the 1941 coup d'état against the pro-Axis government and briefly served as prime minister during the German invasion of Yugoslavia in World War II.
  • C. Ljubomir Ilić
    Ljubomir Ilić was a Yugoslav aircraft designer best known for co-designing the Ikarus IK-2 fighter aircraft.
  • D. Mara Lazarević chosen
    Mara Lazarević was a medieval Serbian noblewoman, known as a daughter of Prince Lazar of Serbia and a member of the influential Lazarević dynasty.
  • E. Vladan Đokić
    Vladan Đokić is a Serbian architect and academic who serves as a leading figure in higher education at the University of Belgrade.
  • 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_69ad85e18c1c8190be8aafb227f39f48 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc49644d08190866d6c5df9d2b48d completed March 8, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e4e5906481909c0d0989dde7743f completed March 14, 2026, 4:32 a.m.
Created at: March 8, 2026, 3:26 p.m.