Triple

T12143063
Position Surface form Disambiguated ID Type / Status
Subject Geoffrey S. Fletcher E289239 entity
Predicate screenwriterOf P2831 FINISHED
Object Violet & Daisy E964647 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: Violet & Daisy | Statement: [Geoffrey S. Fletcher, screenwriterOf, Violet & Daisy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Violet & Daisy
Context triple: [Geoffrey S. Fletcher, screenwriterOf, Violet & Daisy]
  • A. Violet & Daisy chosen
    Violet & Daisy is a 2011 crime drama film about two teenage assassins whose latest assignment takes an unexpected turn, marking the directorial debut of screenwriter Geoffrey S. Fletcher.
  • B. Violet Lane
    Violet Lane was the wife of English actor and entertainer Stanley Holloway.
  • C. Violet
    Violet is the given first name of the renowned American opera singer Leontyne Price.
  • D. Violet
    Violet is a small, typically purple-flowered plant commonly found in temperate regions and widely recognized as a symbol of modesty and springtime.
  • E. Violet
    Violet is a character portrayed by Australian actress Robin McLeavy, likely known from her work in film or television.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915a9838081909622cc14df2a2582 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e4a573c8190b5dd6cc61849739b completed May 2, 2026, 3:54 p.m.
Created at: April 8, 2026, 9:49 p.m.