Triple

T22743554
Position Surface form Disambiguated ID Type / Status
Subject Arijan Komazec E562483 entity
Predicate name P16 FINISHED
Object Arijan Komazec 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: Arijan Komazec | Statement: [Arijan Komazec, name, Arijan Komazec]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arijan Komazec
Context triple: [Arijan Komazec, name, Arijan Komazec]
  • A. Arijan Komazec chosen
    Arijan Komazec is a former Croatian professional basketball player known for his scoring ability and for representing Croatia in international competitions during the 1990s.
  • B. Mateo Kostelić
    Mateo Kostelić is a member of Croatia’s prominent Kostelić sporting family, known primarily as the son of renowned ski coach Ante Kostelić.
  • C. Luka Kovač
    Luka Kovač is a fictional Croatian emergency room physician and central character on the television series "ER."
  • D. Bojan Bazelli
    Bojan Bazelli is a renowned cinematographer known for his visually striking and atmospheric work on films such as "Spectral," "A Cure for Wellness," and collaborations with directors like Gore Verbinski.
  • E. Zoran Perisic
    Zoran Perisic is a visual effects artist and supervisor best known for pioneering front-projection techniques used in major films such as the original Superman.
  • 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_69e245513a5c81908d5cb471b4fc429d completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17974c3208190ae1d6b05639cc942 completed April 29, 2026, 3:22 a.m.
Created at: April 17, 2026, 3:23 p.m.