Triple

T11923151
Position Surface form Disambiguated ID Type / Status
Subject Zora Petrović E283708 entity
Predicate name P16 FINISHED
Object Zora Petrović E283708 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: Zora Petrović | Statement: [Zora Petrović, name, Zora Petrović]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zora Petrović
Context triple: [Zora Petrović, name, Zora Petrović]
  • A. Zora Petrović chosen
    Zora Petrović was a prominent Serbian painter known for her expressive, color-rich works and significant contribution to 20th-century Yugoslav art.
  • B. Aco Petrović
    Aco Petrović is a Croatian professional basketball coach and former player best known for leading top European clubs and the Croatian national team in international competition.
  • C. Mirko Cvetković
    Mirko Cvetković is a Serbian economist and politician who served as the country's prime minister in the late 2000s and early 2010s.
  • D. Ranko Matasović
    Ranko Matasović is a Croatian linguist and Indo-Europeanist known for his work on Celtic languages and historical linguistics.
  • E. Nebojša Pavković
    Nebojša Pavković is a former Yugoslav and Serbian general best known for commanding Yugoslav Army forces during the Kosovo War and later facing war crimes charges related to the conflict.
  • 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_69d6ab2ce9c48190b5d39511b524f666 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8e8e2fc648190a446c1917db1c7d9 completed April 10, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49ce47d488190af7f832e7719a4ce completed May 1, 2026, 12:30 p.m.
Created at: April 8, 2026, 9:45 p.m.