Triple

T3065882
Position Surface form Disambiguated ID Type / Status
Subject Macbeth (2015 film) E62102 entity
Predicate musicBy P1952 FINISHED
Object Jed Kurzel E328103 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: Jed Kurzel | Statement: [Macbeth (2015 film), musicBy, Jed Kurzel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jed Kurzel
Context triple: [Macbeth (2015 film), musicBy, Jed Kurzel]
  • A. Justin Kurzel chosen
    Justin Kurzel is an Australian film director known for his visually striking and often dark adaptations, including the 2015 film "Macbeth" and the true-crime drama "Snowtown."
  • B. David Michôd
    David Michôd is an Australian film director and screenwriter best known for his crime drama "Animal Kingdom" and dystopian thriller "The Rover."
  • C. Iain Softley
    Iain Softley is a British film director, producer, and screenwriter known for movies such as "Backbeat," "Hackers," and "The Wings of the Dove."
  • D. Nico Parker
    Nico Parker is a British actress known for her breakout role in Disney's live-action "Dumbo" (2019) and subsequent appearances in film and television.
  • E. Dan Goor
    Dan Goor is an American television writer and producer best known for co-creating the comedy series "Brooklyn Nine-Nine" and his work on shows like "Parks and Recreation."
  • 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_69ad85793e5c8190a358049bc4a98d8c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada0fc01dc81908fbdf7c1ef73afe4 completed March 8, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f45f6a08190a79df4c7a7846320 completed March 12, 2026, 12:56 a.m.
Created at: March 8, 2026, 3:02 p.m.