Triple

T22312834
Position Surface form Disambiguated ID Type / Status
Subject UEFA Euro 1968 E551563 entity
Predicate topScorer P6605 FINISHED
Object Dragan Džajić 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: Dragan Džajić | Statement: [UEFA Euro 1968, topScorer, Dragan Džajić]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dragan Džajić
Context triple: [UEFA Euro 1968, topScorer, Dragan Džajić]
  • A. Dragan Džajić chosen
    Dragan Džajić is a legendary Serbian (Yugoslav) footballer widely regarded as one of the greatest left wingers in European football history.
  • B. Dragan Kićanović
    Dragan Kićanović is a former Yugoslav basketball star widely regarded as one of Europe’s greatest shooting guards of the 1970s and early 1980s.
  • C. Mlađan Dinkić
    Mlađan Dinkić is a Serbian economist and politician known for serving in several high-ranking government positions, including roles in economic and financial policymaking.
  • D. Đorđe Milićević
    Đorđe Milićević is a Serbian politician who has held senior leadership roles within the Socialist Party of Serbia and served in the National Assembly of Serbia.
  • E. Branko Đurić
    Branko Đurić is a Bosnian actor, comedian, and director best known internationally for his role in the Oscar-winning war film "No Man's Land."
  • 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_69e11e4776588190abb21e5cea79973f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15750f76c81909d6f788928f503f1 completed April 29, 2026, 12:56 a.m.
Created at: April 16, 2026, 8:42 p.m.