Triple

T12460872
Position Surface form Disambiguated ID Type / Status
Subject True History of the Kelly Gang E297788 entity
Predicate musicBy P1952 FINISHED
Object Jed Kurzel E331901 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: [True History of the Kelly Gang, musicBy, Jed Kurzel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jed Kurzel
Context triple: [True History of the Kelly Gang, musicBy, Jed Kurzel]
  • A. Jed Kurzel chosen
    Jed Kurzel is an Australian film composer and musician known for his atmospheric scores for films such as "Slow West," "Snowtown," and "Macbeth."
  • B. Justin Kurzel
    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."
  • C. David Michôd
    David Michôd is an Australian film director and screenwriter best known for his crime drama "Animal Kingdom" and dystopian thriller "The Rover."
  • D. Martin Arjovsky
    Martin Arjovsky is a machine learning researcher best known for introducing the Wasserstein GAN, a generative adversarial network variant that improves training stability and sample quality.
  • E. Peter Strickland
    Peter Strickland is a British filmmaker known for his atmospheric, genre-bending films that blend psychological horror, dark humor, and meticulous sound design.
  • 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_69d6ada270808190b1a2b2e7b02bb426 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94db465c48190bcfaf22f25ef8947 completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6556aae84819083e4988ec6f21471 completed May 2, 2026, 7:50 p.m.
Created at: April 8, 2026, 9:56 p.m.