Triple

T16199597
Position Surface form Disambiguated ID Type / Status
Subject Nenad Vučinić E393161 entity
Predicate name P16 FINISHED
Object Nenad Vučinić E393161 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: Nenad Vučinić | Statement: [Nenad Vučinić, name, Nenad Vučinić]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nenad Vučinić
Context triple: [Nenad Vučinić, name, Nenad Vučinić]
  • A. Nenad Vučinić chosen
    Nenad Vučinić is a Serbian-New Zealand basketball coach and former player best known for leading New Zealand’s national team and coaching at high levels in international and club basketball.
  • B. Nenad Medvidović
    Nenad Medvidović is a prominent computer scientist known for his influential work in software architecture and software engineering research.
  • C. 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.
  • D. Dejan Tomašević
    Dejan Tomašević is a retired Serbian professional basketball player and center known for his successful European club career and key role on the Yugoslav/Serbian national team.
  • E. Goran Paskaljević
    Goran Paskaljević was a renowned Serbian film director known for his humanistic, socially engaged dramas and his significant contribution to Yugoslav and European cinema.
  • 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_69d87f1f5bd08190bd01cac0d5b9d2ef completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e222de2db481908471b9c73d444607 completed April 17, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000ecf454081909660f4ab9c556ddc completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5:03 a.m.