Triple

T14587745
Position Surface form Disambiguated ID Type / Status
Subject You Are In Love (Taylor’s Version) E342359 entity
Predicate hasVersion P455 FINISHED
Object You Are In Love E1105541 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: You Are In Love | Statement: [You Are In Love (Taylor’s Version), hasVersion, You Are In Love]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: You Are In Love
Context triple: [You Are In Love (Taylor’s Version), hasVersion, You Are In Love]
  • A. You Are in Love chosen
    "You Are in Love" is a romantic pop ballad by Taylor Swift from her 2014 album 1989, depicting the quiet, everyday moments that reveal a deep, genuine relationship.
  • B. You Are Love
    "You Are Love" is a romantic duet from the classic 1927 Jerome Kern and Oscar Hammerstein II musical *Show Boat*, celebrated as one of its central love songs.
  • C. You’re in Love
    "You’re in Love" is a hard rock song by the American glam metal band Ratt, featured on their 1985 album "Invasion of Your Privacy."
  • D. Your Love
    "Your Love" is a pop and R&B song best known as a hit single co-written and produced by Pop Wansel.
  • E. Who You Love
    "Who You Love" is a romantic duet by John Mayer and Katy Perry that blends soft rock and pop influences to explore the theme of accepting love without judgment.
  • 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb421bb308190a457425429ef6aa5 completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda918542c819099646943be59dd04 completed May 8, 2026, 9:12 a.m.
Created at: April 10, 2026, 1:24 a.m.