Triple

T6473976
Position Surface form Disambiguated ID Type / Status
Subject Dreamgirls (2006 film soundtrack) E146022 entity
Predicate notableWork P4 FINISHED
Object Love You I Do E142827 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: Love You I Do | Statement: [Dreamgirls (2006 film soundtrack), notableWork, Love You I Do]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Love You I Do
Context triple: [Dreamgirls (2006 film soundtrack), notableWork, Love You I Do]
  • A. Love You I Do chosen
    "Love You I Do" is a soulful R&B song performed by Jennifer Hudson in the 2006 film adaptation of the musical Dreamgirls, for which she won an Academy Award.
  • B. Why I Love You
    "Why I Love You" is a song by Jay-Z and Kanye West from their collaborative album *Watch the Throne*, known for its dramatic production and themes of loyalty and betrayal.
  • C. What Love Can Do
    "What Love Can Do" is a song by Bruce Springsteen featured on his 2009 rock album *Working on a Dream*.
  • D. I Love, You Love
    "I Love, You Love" is a song by the British rock band The Stone Roses, featured on their 2000 compilation album "The Stone Roses: The Remixes" (also known as "Evolver").
  • E. Here’s Love
    "Here’s Love" is a 1963 Broadway musical by Meredith Willson, adapted from the classic film "Miracle on 34th Street."
  • 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_69c008fec7408190af7b146dc63d9750 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a32c0188190bcb3c35fc1d796a6 completed March 22, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c65fd1db288190b00ba6d7f3aae925 completed March 27, 2026, 10:45 a.m.
Created at: March 22, 2026, 4:50 p.m.