Triple

T20215012
Position Surface form Disambiguated ID Type / Status
Subject ER E493594 entity
Predicate mainCharacter P1183 FINISHED
Object Dr. Luka Kovač NE NERFINISHED

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: Dr. Luka Kovač | Statement: [ER, mainCharacter, Dr. Luka Kovač]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dr. Luka Kovač
Context triple: [ER, mainCharacter, Dr. Luka Kovač]
  • A. Dr. Luka Kovač chosen
    Dr. Luka Kovač is a Croatian emergency physician and a central character on the medical drama series ER, known for his tragic backstory and complex personal and professional relationships.
  • B. Dragomir Mrsic
    Dragomir Mrsic is a Swedish actor and former criminal best known internationally for roles in action and science fiction films, including the Tom Cruise–led movie "Edge of Tomorrow."
  • C. Vladimir Ružić
    Vladimir Ružić is a person bearing the Croatian surname Ružić, likely of Croatian or broader South Slavic origin.
  • D. Milan M. Ćirković
    Milan M. Ćirković is a Serbian astronomer and philosopher of science known for his work on astrobiology, the Fermi paradox, and global catastrophic risk studies.
  • E. Tihomir Orešković
    Tihomir Orešković is a Croatian-Canadian businessman and politician who served as Croatia’s prime minister in 2016, leading a technocratic government.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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.
Created at: April 11, 2026, 11:38 p.m.