Triple

T22042056
Position Surface form Disambiguated ID Type / Status
Subject Rajaković E544659 entity
Predicate hasNotableBearer P458 FINISHED
Object Darko Rajaković 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: Darko Rajaković | Statement: [Rajaković, hasNotableBearer, Darko Rajaković]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Darko Rajaković
Context triple: [Rajaković, hasNotableBearer, Darko Rajaković]
  • A. Darko Rajaković chosen
    Darko Rajaković is a Serbian professional basketball coach known for his extensive NBA assistant coaching experience and player development expertise.
  • B. Marko Jarić
    Marko Jarić is a Serbian former professional basketball player who played as a guard in the NBA and top European leagues.
  • C. Darko Tresnjak
    Darko Tresnjak is a Tony Award–winning theater and opera director known for his work on Broadway and in major regional theaters.
  • D. Dragan Stojković
    Dragan Stojković is a renowned Serbian former attacking midfielder and football manager, celebrated as one of Yugoslavia’s greatest football talents.
  • E. Dražen Dalipagić
    Dražen Dalipagić is a legendary Serbian basketball player, widely regarded as one of Europe’s greatest scorers and a Hall of Famer who starred for Yugoslavia’s national team and top European clubs.
  • 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_69e11e32445c8190ab97089b48a130bb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12829c1c081909edc7544242c9c7a completed April 28, 2026, 9:35 p.m.
Created at: April 16, 2026, 8:25 p.m.