Triple

T1747983
Position Surface form Disambiguated ID Type / Status
Subject Mad Max: Fury Road E38377 entity
Predicate cinematographyBy P1953 FINISHED
Object John Seale E124488 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: John Seale | Statement: [Mad Max: Fury Road, cinematographyBy, John Seale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Seale
Context triple: [Mad Max: Fury Road, cinematographyBy, John Seale]
  • A. John Seale chosen
    John Seale is an Australian cinematographer renowned for his Academy Award–winning work on films such as "The English Patient" and his visually striking collaborations with major directors.
  • B. Richard Bristow
    Richard Bristow was a 16th-century English Catholic scholar and theologian who contributed to the development and annotation of the Douay–Rheims Bible.
  • C. John Leeson
    John Leeson is a British actor best known for voicing the robotic dog K-9 in the Doctor Who television franchise.
  • D. Philip Woodruff
    Philip Woodruff was the pen name of British civil servant Philip Mason, best known for his influential writings on the British Raj and the Indian Civil Service.
  • E. Daniel Butterfield
    Daniel Butterfield was a Union Army general in the American Civil War, best known for composing the bugle call "Taps."
  • 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_69a8862b01a48190ab47209063af82d9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63ecda0c819091f81942a5bde31d completed March 6, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae516742dc81909915c49b12645c26 completed March 9, 2026, 4:49 a.m.
Created at: March 4, 2026, 7:31 p.m.