Triple

T20215020
Position Surface form Disambiguated ID Type / Status
Subject ER E493594 entity
Predicate portrayedBy P1507 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: [ER, portrayedBy, Goran Visnjic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Goran Visnjic
Context triple: [ER, portrayedBy, 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. Zoran Vuković
    Zoran Vuković is a Bosnian Serb former paramilitary who was convicted by the International Criminal Tribunal for the former Yugoslavia for crimes against humanity committed during the Foča massacres in the Bosnian War.
  • C. Zoran Slavnić
    Zoran Slavnić is a former Yugoslav basketball player and point guard renowned as one of Europe’s top playmakers of the 1970s and 1980s, later becoming a successful coach.
  • D. Denis Stojnic
    Denis Stojnic is a Bosnian heavyweight mixed martial artist who has competed in major promotions including the UFC.
  • E. Zoran Lilić
    Zoran Lilić is a Serbian politician who served as a key federal leader during the final years of the Federal Republic of Yugoslavia in the 1990s.
  • 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_69da6269614c8190bb40475d9d477358 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66ed8101081908e53a8bde48624b1 completed April 20, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a084b84a2608190b253bfd8b730fc67 completed May 16, 2026, 10:48 a.m.
Created at: April 11, 2026, 11:38 p.m.