Triple

T14837510
Position Surface form Disambiguated ID Type / Status
Subject Milos Teodosic E348869 entity
Predicate givenName P17 FINISHED
Object Miloš E953482 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: Miloš | Statement: [Milos Teodosic, givenName, Miloš]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miloš
Context triple: [Milos Teodosic, givenName, Miloš]
  • A. Miloš chosen
    Miloš is a masculine given name of Slavic origin, commonly used in countries such as Serbia, the Czech Republic, and Slovakia.
  • B. Miloš Teodosić
    Miloš Teodosić is a Serbian professional basketball player renowned as one of Europe's premier playmaking point guards, celebrated for his exceptional court vision and passing creativity.
  • C. Miloš Marić
    Miloš Marić was the brother of Serbian physicist Mileva Marić, who was Albert Einstein’s first wife and scientific collaborator.
  • D. Tomislav Tomašević
    Tomislav Tomašević is a Croatian politician and environmental activist who serves as the mayor of Zagreb and is a leading figure of the green-left political movement in Croatia.
  • E. Radovan Krejcir
    Radovan Krejcir is a Czech-born criminal and fugitive known for his involvement in organized crime, fraud, and violent offenses, particularly in South Africa.
  • 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded28d0ddc8190a34e3e2d469ab762 completed April 14, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe8bc7aba08190b2e125b174751a53 completed May 9, 2026, 1:20 a.m.
Created at: April 10, 2026, 1:52 a.m.