Triple

T9127632
Position Surface form Disambiguated ID Type / Status
Subject Nataša Kandić E219004 entity
Predicate name P16 FINISHED
Object Nataša Kandić E219004 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: Nataša Kandić | Statement: [Nataša Kandić, name, Nataša Kandić]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nataša Kandić
Context triple: [Nataša Kandić, name, Nataša Kandić]
  • A. Nataša Kandić chosen
    Nataša Kandić is a Serbian human rights activist known for documenting war crimes and advocating for justice and reconciliation in the former Yugoslavia.
  • B. Janica Kostelić
    Janica Kostelić is a Croatian alpine skier widely regarded as one of the greatest in the sport, known especially for winning multiple gold medals at the 2002 Winter Olympics.
  • C. Milica Pivnički
    Milica Pivnički, better known as Mila Mulroney, is the Serbian-born Canadian wife of former Canadian Prime Minister Brian Mulroney and a notable public figure and charity advocate.
  • D. Sanda Dubravčić
    Sanda Dubravčić is a former Yugoslav figure skater best known for lighting the Olympic cauldron at the 1984 Winter Olympics in Sarajevo.
  • E. Nena Danevic
    Nena Danevic is a film editor best known for her Academy Award–winning work on the 1984 historical drama "Amadeus."
  • 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_69ca83debfc0819095800583e97ab10f completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8cad9c0819082d61f53865ef0b4 completed April 1, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d030a1042c8190a31c76638a95a2cf completed April 3, 2026, 9:26 p.m.
Created at: March 30, 2026, 7:18 p.m.