Triple

T18092951
Position Surface form Disambiguated ID Type / Status
Subject Rain Dogs E433016 entity
Predicate hasPart P35 FINISHED
Object Rain Dogs (song) 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: Rain Dogs (song) | Statement: [Rain Dogs, hasPart, Rain Dogs (song)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rain Dogs (song)
Context triple: [Rain Dogs, hasPart, Rain Dogs (song)]
  • A. Rain Dogs chosen
    Rain Dogs is a critically acclaimed 1985 album by Tom Waits that blends experimental rock, jazz, and cabaret influences into a gritty, surreal portrait of urban life and misfits.
  • B. The Rain
    The Rain was an early Manchester band that eventually evolved into the globally successful rock group Oasis, featuring Noel Gallagher.
  • C. The Rain
    "The Rain" is a reflective nature poem by W. H. Davies that contrasts the soothing beauty of rainfall with underlying social inequality.
  • D. 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.
  • E. A Rainy Day
    A Rainy Day is a short film directed by Beth Brickell that explores the emotional landscape of a young boy coping with family turmoil.
  • 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_69d8b907d05c819083cc3bd6021089e6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dd1972a881908072990de0715547 completed April 19, 2026, 1:48 p.m.
Created at: April 10, 2026, 10:27 a.m.