Triple

T14228281
Position Surface form Disambiguated ID Type / Status
Subject Marko E352680 entity
Predicate hasFamousBearer P458 FINISHED
Object Marko Jarić E740669 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: Marko Jarić | Statement: [Marko, hasFamousBearer, Marko Jarić]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marko Jarić
Context triple: [Marko, hasFamousBearer, Marko Jarić]
  • A. Marko Jarić chosen
    Marko Jarić is a Serbian former professional basketball player who played as a guard in the NBA and top European leagues.
  • B. Darko Rajaković
    Darko Rajaković is a Serbian professional basketball coach known for his extensive NBA assistant coaching experience and player development expertise.
  • 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. Krešimir Ćosić
    Krešimir Ćosić was a legendary Croatian basketball player and coach, renowned as one of Europe’s greatest centers and a pioneer who helped popularize the sport in his home country.
  • E. Dražen Petrović
    Dražen Petrović was a legendary Croatian basketball guard renowned for his prolific scoring in Europe and the NBA and for helping popularize European players in the league before his tragic early death.
  • 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_69d8278adc7c8190a9218d69bce3c4e6 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de622a48508190bbfedb762bd1674d completed April 14, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd281801488190bcb17d27ee18cde6 completed May 8, 2026, 12:02 a.m.
Created at: April 10, 2026, 1:07 a.m.