Triple

T19021285
Position Surface form Disambiguated ID Type / Status
Subject Waiting for the Sun E465492 entity
Predicate hasPart P35 FINISHED
Object Hello, I Love You NE NERFINISHED

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: Hello, I Love You | Statement: [Waiting for the Sun, hasPart, Hello, I Love You]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hello, I Love You
Context triple: [Waiting for the Sun, hasPart, Hello, I Love You]
  • A. Hello, I Love You chosen
    "Hello, I Love You" is a hit 1968 rock single by The Doors, known for its catchy, psychedelic sound and prominent chart success.
  • B. Hey, Love
    "Hey, Love" is a musical work by American composer and author Mary Rodgers, known for her contributions to mid-20th-century musical theatre and literature.
  • C. 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.
  • 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. I Love You
    "I Love You" is a song featured on the album *Surfacing* by Canadian singer-songwriter Sarah McLachlan.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8dd025c188190a1d81f5b4ec7e2c6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6dfa3c88190a057c3385d680cf8 completed April 20, 2026, 7:33 a.m.
Created at: April 10, 2026, 12:02 p.m.