Triple

T11338399
Position Surface form Disambiguated ID Type / Status
Subject Brady Corbet E268530 entity
Predicate workedWith P398 FINISHED
Object Michael Haneke E265954 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: Michael Haneke | Statement: [Brady Corbet, workedWith, Michael Haneke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Haneke
Context triple: [Brady Corbet, workedWith, Michael Haneke]
  • A. Michael Haneke chosen
    Michael Haneke is an acclaimed Austrian film director and screenwriter known for his austere, unsettling dramas that critically examine modern society and human psychology.
  • B. Susanne Haneke
    Susanne Haneke is the wife of acclaimed Austrian filmmaker Michael Haneke.
  • C. Oliver Hirschbiegel
    Oliver Hirschbiegel is a German film and television director best known internationally for his acclaimed World War II drama "Downfall."
  • D. Ivan Passer
    Ivan Passer was a Czech-born film director and screenwriter associated with the Czech New Wave who later built a notable career in American cinema.
  • E. Roman Polanski
    Roman Polanski is a Polish-French film director, producer, writer, and actor known for influential and often controversial films such as "Rosemary’s Baby," "Chinatown," and "The Pianist," as well as for his highly publicized legal troubles.
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea008b5081908e6c6c6fc29ef936 completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5433d3e848190ad4f51c23d5a8bb2 completed April 19, 2026, 9:03 p.m.
Created at: April 8, 2026, 9:33 p.m.