Triple

T21156082
Position Surface form Disambiguated ID Type / Status
Subject Young Bosnia E521314 entity
Predicate member P10 FINISHED
Object Cvjetko Popović 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: Cvjetko Popović | Statement: [Young Bosnia, member, Cvjetko Popović]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cvjetko Popović
Context triple: [Young Bosnia, member, Cvjetko Popović]
  • A. Cvjetko Popović chosen
    Cvjetko Popović was a Bosnian Serb revolutionary and conspirator involved in the 1914 assassination plot against Archduke Franz Ferdinand in Sarajevo.
  • B. Marko Popović
    Marko Popović is a Croatian professional basketball player and sharpshooting guard known for his successful European club career and leadership on the court.
  • C. Goran Kostić
    Goran Kostić is a Bosnian-born British actor known for his work in film and television, including a prominent role in Angelina Jolie’s war drama "In the Land of Blood and Honey."
  • D. Predrag Marković
    Predrag Marković is a Serbian politician, writer, and former Speaker of the National Assembly of Serbia.
  • E. Duško Vujošević
    Duško Vujošević is a renowned Montenegrin-Serbian basketball coach best known for his long, trophy-filled tenure developing talent and achieving success with Partizan Belgrade.
  • 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_69e0b50d1ea481909c07e63c3ead9316 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7252b40ac81908ab7e30c662a6c94 completed April 21, 2026, 7:20 a.m.
Created at: April 16, 2026, 2:58 p.m.