Triple

T15905916
Position Surface form Disambiguated ID Type / Status
Subject Anne E385713 entity
Predicate appearsIn P795 FINISHED
Object The Darkest Hour E82092 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: The Darkest Hour | Statement: [Anne, appearsIn, The Darkest Hour]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Darkest Hour
Context triple: [Anne, appearsIn, The Darkest Hour]
  • A. The Darkest Hour chosen
    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.
  • B. The Darkest Hour
    The Darkest Hour is a silent-era film produced by the early American motion picture studio Vitagraph Company of America.
  • C. Darkest Hour
    Darkest Hour is a 2017 historical drama film depicting Winston Churchill’s early days as British Prime Minister during World War II, starring Gary Oldman in an Oscar-winning performance.
  • D. Darkest Hour
    Darkest Hour is an American metal band known for blending melodic death metal and hardcore punk influences into an aggressive, politically charged sound.
  • E. Dunkirk
    Dunkirk is a coastal town in northern France best known as the site of the World War II evacuation of Allied troops in 1940.
  • 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_69d86da686e4819097cbf3b1fc2d881d completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1565956588190ba4726a2879b677d completed April 16, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffeb82a29081909ef0e2685d0705c3 completed May 10, 2026, 2:20 a.m.
Created at: April 10, 2026, 4:52 a.m.