Triple

T18047592
Position Surface form Disambiguated ID Type / Status
Subject Madness, Money & Music E431824 entity
Predicate follows P134 FINISHED
Object You Could Have Been with Me 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: You Could Have Been with Me | Statement: [Madness, Money & Music, follows, You Could Have Been with Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: You Could Have Been with Me
Context triple: [Madness, Money & Music, follows, You Could Have Been with Me]
  • A. You Could Have Been with Me chosen
    "You Could Have Been with Me" is a 1981 pop album by Scottish singer Sheena Easton that helped solidify her early international success.
  • B. Could've Been
    "Could've Been" is an R&B song produced by Happy Perez, best known in its hit duet form by H.E.R. featuring Bryson Tiller.
  • C. If I Could’ve Been
    "If I Could’ve Been" is a song by the band Working.
  • D. What Could Have Been Love
    "What Could Have Been Love" is a power ballad by American rock band Aerosmith, featured on their 2012 album *Music from Another Dimension!*.
  • E. It Shoulda Been You
    It Shoulda Been You is a Broadway musical comedy centered on a chaotic wedding day, known for its farcical twists, contemporary score, and heartfelt exploration of family dynamics.
  • 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_69d8b906482481908183315b9ecf9994 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4bff2d3c48190875ffe9c042d3ec0 completed April 19, 2026, 11:43 a.m.
Created at: April 10, 2026, 10:25 a.m.