Triple

T17069666
Position Surface form Disambiguated ID Type / Status
Subject Backtrack E414179 entity
Predicate cinematography P1953 FINISHED
Object Stefan Duscio E1147815 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: Stefan Duscio | Statement: [Backtrack, cinematography, Stefan Duscio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stefan Duscio
Context triple: [Backtrack, cinematography, Stefan Duscio]
  • A. Stefan Duscio chosen
    Stefan Duscio is an Australian cinematographer known for his stylish, atmospheric visual work on films such as the 2020 adaptation of The Invisible Man.
  • B. Stefan Vladar
    Stefan Vladar is an Austrian pianist and conductor known for his leadership roles with European orchestras and opera houses.
  • C. Dominik Duka
    Dominik Duka is a Czech cardinal of the Roman Catholic Church who served as Archbishop of Prague and was a prominent religious and public figure in the Czech Republic.
  • D. Rene Bitorajac
    Rene Bitorajac is a Croatian actor best known internationally for his role in the Oscar-winning Bosnian war film "No Man's Land."
  • E. Denis Kosiak
    Denis Kosiak is a music producer best known for his work on the project American Teen.
  • 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_69d886cef44c8190ba56c44b4e863e64 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbbfb1f08190807301ff6e573cf5 completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a014140722481909f976e32597a873d completed May 11, 2026, 2:38 a.m.
Created at: April 10, 2026, 5:34 a.m.