Triple

T9210814
Position Surface form Disambiguated ID Type / Status
Subject Jean-Philippe Vassal E221109 entity
Predicate notableProjectLocation P3858 FINISHED
Object Dunkirk E33602 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: [Jean-Philippe Vassal, notableProjectLocation, Dunkirk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dunkirk
Context triple: [Jean-Philippe Vassal, notableProjectLocation, Dunkirk]
  • A. Dunkirk
    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 chosen
    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_69ca83e9d0e081908bdb71097201a06c completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd9b54520819087030148dadd6385 completed April 1, 2026, 8:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69d065efcb64819097d4624bd9e423d2 completed April 4, 2026, 1:14 a.m.
Created at: March 30, 2026, 7:27 p.m.