Triple

T5706088
Position Surface form Disambiguated ID Type / Status
Subject Practical Magic E125786 entity
Predicate castMember P1668 FINISHED
Object Goran Visnjic E390796 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: Goran Visnjic | Statement: [Practical Magic, castMember, Goran Visnjic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Goran Visnjic
Context triple: [Practical Magic, castMember, Goran Visnjic]
  • A. Goran Visnjic chosen
    Goran Visnjic is a Croatian-American actor best known for his role as Dr. Luka Kovač on the television medical drama "ER."
  • B. Tihomir Orešković
    Tihomir Orešković is a Croatian-Canadian businessman and politician who served as Croatia’s prime minister in 2016, leading a technocratic government.
  • C. Nenad Vučinić
    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.
  • D. Nenad Medvidović
    Nenad Medvidović is a prominent computer scientist known for his influential work in software architecture and software engineering research.
  • E. Kosta Runjaić
    Kosta Runjaić is a German-Croatian football manager known for his successful stints in Polish football, particularly for elevating Pogoń Szczecin’s performance in the Ekstraklasa.
  • 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_69c0082d6fe48190b777fb383769e5c8 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02459cd18819080fda0b481d11f08 completed March 22, 2026, 5:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07de7df8c8190824d24f729eaa04d completed March 22, 2026, 11:40 p.m.
Created at: March 22, 2026, 3:45 p.m.