Triple

T15955371
Position Surface form Disambiguated ID Type / Status
Subject Lazar Hrebeljanović E386919 entity
Predicate child P120 FINISHED
Object Mara 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: Mara Lazarević | Statement: [Lazar Hrebeljanović, child, Mara Lazarević]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mara Lazarević
Context triple: [Lazar Hrebeljanović, child, Mara Lazarević]
  • A. 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.
  • B. Dragana Lazarević
    Dragana Lazarević is a Serbian individual known primarily as the sister of Vuk Lazarević, a historical figure from the medieval Lazarević noble family.
  • C. Milana Savić
    Milana Savić is the mother of Serbian professional footballer Sergej Milinković-Savić.
  • D. Milena Vukotić
    Milena Vukotić was the Queen consort of Montenegro and a prominent 19th–20th century Balkan royal figure known for her political influence and role in modernizing the Montenegrin court.
  • E. Nataša Kandić
    Nataša Kandić is a Serbian human rights activist known for documenting war crimes and advocating for justice and reconciliation in the former Yugoslavia.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156f94b108190905d295c3405860e completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffeb82a29081909ef0e2685d0705c3 completed May 10, 2026, 2:20 a.m.
Created at: April 10, 2026, 4:53 a.m.