Triple

T21449952
Position Surface form Disambiguated ID Type / Status
Subject Carole Bayer Sager (album) E529181 entity
Predicate hasTrack P3284 FINISHED
Object Come In From The 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: Come In From The Rain | Statement: [Carole Bayer Sager (album), hasTrack, Come In From The Rain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Come In From The Rain
Context triple: [Carole Bayer Sager (album), hasTrack, Come In From The Rain]
  • A. Come in from the Rain chosen
    "Come in from the Rain" is a pop ballad popularized in the 1970s, best known as one of singer-songwriter Melissa Manchester’s signature songs.
  • 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. Even the Rain
    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.
  • D. Who Let in the Rain
    "Who Let in the Rain" is a pop ballad by Cyndi Lauper known for its emotional lyrics and soulful vocal performance.
  • E. I Come with the Rain
    I Come with the Rain is a 2009 neo-noir psychological thriller film blending crime, mystery, and spiritual themes, featuring an international cast including Josh Hartnett and Lee Byung-hun.
  • 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_69e0c457579481909db68053ed99750c completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9d281c0819080c3f8a58947a115 completed April 23, 2026, 9:43 a.m.
Created at: April 16, 2026, 6:06 p.m.