Triple

T14869129
Position Surface form Disambiguated ID Type / Status
Subject A Tribute to... Award E349695 entity
Predicate notableRecipient P108 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: [A Tribute to... Award, notableRecipient, Michael Haneke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Haneke
Context triple: [A Tribute to... Award, notableRecipient, 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5776b848190bfe3a06ff261dc31 completed April 15, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe651067cc8190b9c218ef1f802762 completed May 8, 2026, 10:34 p.m.
Created at: April 10, 2026, 1:55 a.m.