Triple

T17512103
Position Surface form Disambiguated ID Type / Status
Subject Roma Ryan E426474 entity
Predicate wroteLyricsFor P1141 FINISHED
Object A Day Without Rain 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: A Day Without Rain | Statement: [Roma Ryan, wroteLyricsFor, A Day Without Rain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A Day Without Rain
Context triple: [Roma Ryan, wroteLyricsFor, A Day Without Rain]
  • A. A Day Without Rain chosen
    A Day Without Rain is a 2000 studio album by Irish singer Enya, known for its ethereal new-age sound and the hit single "Only Time."
  • B. A Rainy Day
    "A Rainy Day" is a song composed by American songwriter Arthur Schwartz, best known as part of his contributions to classic 20th-century popular and theatrical music.
  • C. No Rain
    "No Rain" is a 1992 alternative rock song by Blind Melon, best known for its catchy melody and iconic "bee girl" music video.
  • D. After the Rain
    After the Rain is a contemporary ballet choreographed by Christopher Wheeldon, renowned for its emotional depth and distinctive neoclassical style.
  • E. After the Rain
    After the Rain is a post-apocalyptic novel by John Bowen that explores the aftermath of a catastrophic flood and its impact on human society.
  • 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_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4525c21c88190a9394c4bce006a38 completed April 19, 2026, 3:56 a.m.
Created at: April 10, 2026, 5:48 a.m.