Triple

T17883213
Position Surface form Disambiguated ID Type / Status
Subject John Guillermin E447140 entity
Predicate directorOf P537 FINISHED
Object The Blue Max 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: The Blue Max | Statement: [John Guillermin, directorOf, The Blue Max]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Blue Max
Context triple: [John Guillermin, directorOf, The Blue Max]
  • A. The Blue Max chosen
    The Blue Max is a 1966 World War I aviation war film renowned for its spectacular aerial combat sequences and its portrayal of an ambitious German fighter pilot’s ruthless quest for glory.
  • B. Blue Max
    Blue Max is the informal name for the Pour le Mérite, Imperial Germany’s highest military order for bravery during World War I.
  • C. The Bloody Red Baron
    The Bloody Red Baron is a horror alternate-history novel by Kim Newman that continues his Anno Dracula series by reimagining World War I with vampires integrated into society.
  • D. The Command of the Air
    The Command of the Air is a foundational 1921 military treatise by Italian general Giulio Douhet that argues air power and strategic bombing would dominate future warfare.
  • E. Storm of Steel
    Storm of Steel is a renowned World War I memoir by Ernst Jünger that vividly recounts his harrowing experiences as a German soldier on the Western Front.
  • 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_69d8b9f59bd48190a6fc925a855b8bac completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49c1016508190857adce1a0fbb355 completed April 19, 2026, 9:10 a.m.
Created at: April 10, 2026, 10:18 a.m.