Triple

T21527480
Position Surface form Disambiguated ID Type / Status
Subject Jack Lowden E531132 entity
Predicate notableWork P4 FINISHED
Object Dunkirk (2017 film) NE NERFINISHED

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: Dunkirk (2017 film) | Statement: [Jack Lowden, notableWork, Dunkirk (2017 film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dunkirk (2017 film)
Context triple: [Jack Lowden, notableWork, Dunkirk (2017 film)]
  • A. Dunkirk chosen
    Dunkirk is a 2017 war film directed by Christopher Nolan that depicts the World War II evacuation of Allied soldiers from the beaches of Dunkirk, France.
  • B. 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.
  • C. Dunkirk
    Dunkirk is a small rural civil parish and village in the county of Kent in southeast England.
  • D. 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.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c45e5b8881908ac18fc2f493b114 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee88522e948190b9fa5a3587f32eae completed April 26, 2026, 9:49 p.m.
Created at: April 16, 2026, 6:26 p.m.