Triple

T4651435
Position Surface form Disambiguated ID Type / Status
Subject Brazil (film) E102302 entity
Predicate editor P1954 FINISHED
Object Julian Doyle E357148 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: Julian Doyle | Statement: [Brazil (film), editor, Julian Doyle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Julian Doyle
Context triple: [Brazil (film), editor, Julian Doyle]
  • A. Julian Doyle chosen
    Julian Doyle is a British film editor and director best known for his long-time collaboration with the Monty Python team on several of their films.
  • B. Julian Reid
    Julian Reid is a relatively obscure individual whose specific public notability is not clearly established from the available information.
  • C. Alexander Doyle
    Alexander Doyle was a 19th-century American sculptor known for creating prominent public monuments and statues across the United States.
  • D. Julian Dennison
    Julian Dennison is a New Zealand actor best known for his breakout role in "Hunt for the Wilderpeople" and his performance in "Deadpool 2."
  • E. Julian Clarke
    Julian Clarke is a Canadian film editor known for his work on major feature films, including the science fiction movie "Elysium."
  • 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_69bd43d71a308190afea7280841b0de8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd630343f88190954d19fcd18a5864 completed March 20, 2026, 3:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfae7636881908244b86cba1c66b7 completed March 21, 2026, 1:56 a.m.
Created at: March 20, 2026, 1:14 p.m.