Triple

T3168941
Position Surface form Disambiguated ID Type / Status
Subject Carousel E66279 entity
Predicate notableSong P4 FINISHED
Object If I Loved You E66292 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: If I Loved You | Statement: [Carousel, notableSong, If I Loved You]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: If I Loved You
Context triple: [Carousel, notableSong, If I Loved You]
  • A. If I Loved You chosen
    "If I Loved You" is a classic romantic song from the 1945 Rodgers and Hammerstein musical "Carousel," renowned for its lyrical exploration of unspoken love.
  • 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. If You Really Love Me
    "If You Really Love Me" is a pop ballad written by Michael Masser, best known as a soulful love song recorded by Stevie Wonder.
  • D. Please Love Me
    "Please Love Me" is a blues song popularized by B.B. King, showcasing his expressive guitar work and emotive vocal style.
  • E. Do You Love Me
    "Do You Love Me" is a 1962 Motown hit song, originally recorded by The Contours, that became famous for its energetic vocals and dance-oriented rhythm.
  • 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_69ad8585d7988190af37365331093ccd completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada64726048190933dbdc44258703e completed March 8, 2026, 4:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b235e5a0e081909a03f5eb222cfe60 completed March 12, 2026, 3:41 a.m.
Created at: March 8, 2026, 3:06 p.m.