Triple

T6421008
Position Surface form Disambiguated ID Type / Status
Subject Lee Smith E127941 entity
Predicate editedFilm P14416 FINISHED
Object Dunkirk E25540 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: Dunkirk | Statement: [Lee Smith, editedFilm, Dunkirk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dunkirk
Context triple: [Lee Smith, editedFilm, Dunkirk]
  • 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. 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. Downfall
    Downfall is the codename for the planned but never executed Allied invasion of the Japanese home islands near the end of World War II.
  • E. Downfall
    Downfall is a 2004 German historical war drama film depicting the final days of Adolf Hitler and the Third Reich in a besieged Berlin bunker.
  • 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_69c0083815208190a9b299b8e0640218 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c06902ddb48190bd5a8b5ecdf6c39e completed March 22, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c65fc4dc588190ad983fde8969c20f completed March 27, 2026, 10:45 a.m.
Created at: March 22, 2026, 4:43 p.m.