Triple

T6564265
Position Surface form Disambiguated ID Type / Status
Subject Love in the Future Tour E153861 entity
Predicate notableSongPerformed P11145 FINISHED
Object Made to Love E28898 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: Made to Love | Statement: [Love in the Future Tour, notableSongPerformed, Made to Love]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Made to Love
Context triple: [Love in the Future Tour, notableSongPerformed, Made to Love]
  • A. Made to Love chosen
    "Made to Love" is a soulful, genre-blending song by John Legend that showcases his emotive vocals and modern R&B production.
  • B. 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.
  • C. Making Love
    "Making Love" is a 1982 romantic drama film notable for its then-groundbreaking portrayal of a gay relationship in mainstream American cinema.
  • D. Here’s Love
    "Here’s Love" is a 1963 Broadway musical by Meredith Willson, adapted from the classic film "Miracle on 34th Street."
  • E. Ready to Love
    Ready to Love is a reality dating series that follows successful Black singles navigating romance and relationships, produced by filmmaker and TV producer Will Packer.
  • 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_69c6880cb35881909b763eb0125236b9 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae3b9ec8819080f3052556d95810 completed March 27, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d5622e0481909b0ac0f4e06d19bc completed March 27, 2026, 7:07 p.m.
Created at: March 27, 2026, 1:52 p.m.