Triple

T22534746
Position Surface form Disambiguated ID Type / Status
Subject Road to Revolution: Live at Milton Keynes E557125 entity
Predicate director P255 FINISHED
Object Blue Leach 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: Blue Leach | Statement: [Road to Revolution: Live at Milton Keynes, director, Blue Leach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blue Leach
Context triple: [Road to Revolution: Live at Milton Keynes, director, Blue Leach]
  • A. Blue Leach chosen
    Blue Leach is a British music video and concert film director known for his work with major rock and alternative bands on live performance visuals.
  • B. Blausasc
    Blausasc is a small commune in the Alpes-Maritimes department of southeastern France, situated in the hills inland from the Mediterranean coast near Nice.
  • C. Blaak
    Blaak is a central transport hub and urban square in Rotterdam, known for its metro and train station near landmarks like the Cube Houses and Markthal.
  • D. Blau
    The Blau is a small river in the German state of Baden-Württemberg that flows through the city of Blaustein before joining the Danube.
  • E. Fil Bleu
    Fil Bleu is the public transport operator responsible for running bus and tram services in and around the city of Tours, France.
  • 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_69e11e57483c8190b0887c4f8ff26446 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15ed952f48190b63225e7de131679 completed April 29, 2026, 1:28 a.m.
Created at: April 16, 2026, 8:51 p.m.