Triple

T18858423
Position Surface form Disambiguated ID Type / Status
Subject Branko Ružić E461239 entity
Predicate name P16 FINISHED
Object Branko Ružić 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: Branko Ružić | Statement: [Branko Ružić, name, Branko Ružić]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Branko Ružić
Context triple: [Branko Ružić, name, Branko Ružić]
  • A. Branko Ružić chosen
    Branko Ružić is a Croatian politician and member of the Social Democratic Party who has served in various ministerial roles in the Croatian government.
  • B. Tomislav Ružić
    Tomislav Ružić is a Croatian former professional basketball player and coach known for his career in European leagues.
  • C. Danko Ružić
    Danko Ružić is a Croatian jazz pianist and composer known for his inventive style and contributions to the contemporary European jazz scene.
  • D. Vladimir Ružić
    Vladimir Ružić is a person bearing the Croatian surname Ružić, likely of Croatian or broader South Slavic origin.
  • E. Stjepan Lakušić
    Stjepan Lakušić is a Croatian civil engineer and academic who serves as the rector of the University of Zagreb.
  • 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_69d8dcfb7b9c8190854e7b171b98ea2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c05eaee881909da704cf1374158c completed April 20, 2026, 5:57 a.m.
Created at: April 10, 2026, 11:57 a.m.