Triple

T11088619
Position Surface form Disambiguated ID Type / Status
Subject Paul Laverty E262188 entity
Predicate wroteScreenplayFor P15305 FINISHED
Object Even the Rain E860433 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: Even the Rain | Statement: [Paul Laverty, wroteScreenplayFor, Even the Rain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Even the Rain
Context triple: [Paul Laverty, wroteScreenplayFor, Even the Rain]
  • A. Even the Rain chosen
    Even the Rain is a 2010 Spanish drama film that intertwines the making of a historical movie about Christopher Columbus with contemporary protests over water privatization in Bolivia.
  • B. Through the Rain
    "Through the Rain" is a 2002 inspirational pop and R&B ballad by Mariah Carey about resilience and overcoming adversity.
  • C. Let the Rain
    "Let the Rain" is a pop song by Sara Bareilles from her album "Kaleidoscope Heart."
  • D. The Rain
    The Rain was an early Manchester band that eventually evolved into the globally successful rock group Oasis, featuring Noel Gallagher.
  • E. The Rain
    "The Rain" is a reflective nature poem by W. H. Davies that contrasts the soothing beauty of rainfall with underlying social inequality.
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d799e844b08190987c7c8e8d626510 completed April 9, 2026, 12:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3e7b68ca88190a26ee54eb873c9cf completed April 18, 2026, 8:21 p.m.
Created at: April 8, 2026, 9:27 p.m.