Triple

T14104612
Position Surface form Disambiguated ID Type / Status
Subject Deep Cover E339472 entity
Predicate cinematographyBy P1953 FINISHED
Object Bojan Bazelli E199376 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: Bojan Bazelli | Statement: [Deep Cover, cinematographyBy, Bojan Bazelli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bojan Bazelli
Context triple: [Deep Cover, cinematographyBy, Bojan Bazelli]
  • A. Bojan Bazelli chosen
    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.
  • B. Bruno Blaskovic
    Bruno Blaskovic is a Croatian competitive swimmer and Olympian known for representing his country in international freestyle events.
  • C. Arijan Komazec
    Arijan Komazec is a former Croatian professional basketball player known for his scoring ability and for representing Croatia in international competitions during the 1990s.
  • D. 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.
  • E. Luka Kovač
    Luka Kovač is a fictional Croatian emergency room physician and central character on the television series "ER."
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5fbd02888190bf07fd6d8769b61c completed April 14, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0b48e448190b4fb8cb33e5d97e6 completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:22 p.m.