Triple

T1048143
Position Surface form Disambiguated ID Type / Status
Subject Roger Deakins E22629 entity
Predicate notableWork P4 FINISHED
Object Skyfall E39426 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: Skyfall | Statement: [Roger Deakins, notableWork, Skyfall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skyfall
Context triple: [Roger Deakins, notableWork, Skyfall]
  • A. Skyfall chosen
    Skyfall is the 2012 James Bond film starring Daniel Craig, renowned for its darker tone, striking cinematography, and the hit title song performed by Adele.
  • B. Spectre
    Spectre is the 2015 James Bond spy film directed by Sam Mendes and starring Daniel Craig as 007, featuring the iconic criminal organization of the same name.
  • C. Casino Royale
    Casino Royale is the first James Bond novel by Ian Fleming, introducing the iconic British secret agent in a high-stakes mission against a Soviet-backed financier.
  • D. No Time to Die
    No Time to Die is a 2021 James Bond spy film starring Daniel Craig in his final outing as 007, featuring Rami Malek as the primary antagonist.
  • E. The Darkest Hour
    The Darkest Hour is a 2011 science fiction thriller film about a group of young people in Moscow fighting to survive an invisible alien invasion that drains electrical energy.
  • 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_69a493da02e081908c13ff5e02a0fe7a completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b8b19a5c8190a532e025bd724088 completed March 1, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac53864a20819081fc59e7102a6e00 completed March 7, 2026, 4:34 p.m.
Created at: March 1, 2026, 7:42 p.m.