Triple

T22649087
Position Surface form Disambiguated ID Type / Status
Subject Storms E559046 entity
Predicate notableTrack P8087 FINISHED
Object You Made This Love a Teardrop NE NERFINISHED

How this triple was built (3 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 Made This Love a Teardrop | Statement: [Storms, notableTrack, You Made This Love a Teardrop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: You Made This Love a Teardrop
Context triple: [Storms, notableTrack, You Made This Love a Teardrop]
  • A. We Made You
    "We Made You" is a 2009 comedic rap single by Eminem, known for its satirical lyrics and pop culture parodies in both the song and its music video.
  • B. Stars Made of You
    "Stars Made of You" is a song by American singer-songwriter Lukas Nelson from his album *Turn Off the News (Build a Garden)*.
  • C. Made of Love
    "Made of Love" is a trance track by Dutch DJ and producer Ferry Corsten, known for its melodic, uplifting style and popularity within the electronic dance music scene.
  • D. The Kind of Love We Make
    "The Kind of Love We Make" is a 2022 country song by American singer-songwriter Luke Combs that became a major hit for its soulful vocals and romantic, slow-burning style.
  • E. Made for Love
    Made for Love is a darkly comedic science fiction television series about a woman who escapes her controlling tech-billionaire husband only to discover he has implanted a surveillance chip in her brain.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: You Made This Love a Teardrop
Target entity description: "You Made This Love a Teardrop" is a song featured on the album "Storms," recognized as one of its standout tracks.
  • A. We Made You
    "We Made You" is a 2009 comedic rap single by Eminem, known for its satirical lyrics and pop culture parodies in both the song and its music video.
  • B. Stars Made of You
    "Stars Made of You" is a song by American singer-songwriter Lukas Nelson from his album *Turn Off the News (Build a Garden)*.
  • C. Made of Love
    "Made of Love" is a trance track by Dutch DJ and producer Ferry Corsten, known for its melodic, uplifting style and popularity within the electronic dance music scene.
  • D. The Kind of Love We Make
    "The Kind of Love We Make" is a 2022 country song by American singer-songwriter Luke Combs that became a major hit for its soulful vocals and romantic, slow-burning style.
  • E. Made for Love
    Made for Love is a darkly comedic science fiction television series about a woman who escapes her controlling tech-billionaire husband only to discover he has implanted a surveillance chip in her brain.
  • F. None of above. chosen

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_69e245489dd88190b1f674acf61c8769 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1703a84b081909a683f8c850dcbf9 completed April 29, 2026, 2:43 a.m.
Created at: April 17, 2026, 3:05 p.m.