Triple

T11937053
Position Surface form Disambiguated ID Type / Status
Subject Stop Making Sense E284071 entity
Predicate featuresSong P2152 FINISHED
Object Take Me to the River E483443 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: Take Me to the River | Statement: [Stop Making Sense, featuresSong, Take Me to the River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Take Me to the River
Context triple: [Stop Making Sense, featuresSong, Take Me to the River]
  • A. Take Me to the River chosen
    Take Me to the River is a classic 1974 soul song by Al Green that blends gospel, R&B, and funk and has been widely covered and celebrated as one of his signature recordings.
  • B. Aqualung
    Aqualung is the stage name of British singer-songwriter and musician Matt Hales, known for his introspective indie and alternative rock music.
  • C. In the Rain
    "In the Rain" is a song best known as a soulful 1971 hit by the American R&B group The Dramatics, featuring lush production and emotive vocals.
  • D. Close to the Edge
    Close to the Edge is a landmark 1972 progressive rock album by the band Yes, renowned for its complex compositions and expansive, symphonic sound.
  • E. White Buses
    White Buses was a World War II humanitarian rescue operation, led by Swedish diplomat Folke Bernadotte, that used specially marked buses to save thousands of prisoners from Nazi concentration camps.
  • 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_69d6ab2ce9c48190b5d39511b524f666 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903094218819092e11b273d87de65 completed April 10, 2026, 2:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f4408d497c8190b051225140125e1f completed May 1, 2026, 5:56 a.m.
Created at: April 8, 2026, 9:45 p.m.