Triple

T20146908
Position Surface form Disambiguated ID Type / Status
Subject Telling Stories E491324 entity
Predicate followedBy P78 FINISHED
Object Let It 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: Let It Rain | Statement: [Telling Stories, followedBy, Let It Rain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Let It Rain
Context triple: [Telling Stories, followedBy, Let It Rain]
  • A. Let It Rain chosen
    "Let It Rain" is a blues-rock song by Eric Clapton, co-written with Bonnie Bramlett, known for its soaring guitar work and status as one of Clapton’s early solo signature tracks.
  • B. Let It Rain
    Let It Rain is a popular Eurodance track by German singer Sybil that became one of her best-known hits in the 1990s.
  • C. I Can’t Stand the Rain
    "I Can’t Stand the Rain" is a soulful pop song most famously covered by Tina Turner on her 1984 album "Private Dancer," showcasing her powerful vocals and emotive style.
  • D. Make It Rain
    "Make It Rain" is a popular hip-hop single by Fat Joe featuring Lil Wayne, known for its catchy hook and heavy rotation in mid-2000s rap and club scenes.
  • E. Make It Rain
    "Make It Rain" is a hip-hop track by Brooklyn rapper Rowdy Rebel, known for its gritty street lyrics and energetic drill-influenced production.
  • 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6679f43bc8190a1cd4768b3e87505 completed April 20, 2026, 5:51 p.m.
Created at: April 11, 2026, 11:33 p.m.