Triple

T23562734
Position Surface form Disambiguated ID Type / Status
Subject For the Girls E579285 entity
Predicate hasPart P35 FINISHED
Object Will You Love Me Tomorrow 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: Will You Love Me Tomorrow | Statement: [For the Girls, hasPart, Will You Love Me Tomorrow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Will You Love Me Tomorrow
Context triple: [For the Girls, hasPart, Will You Love Me Tomorrow]
  • A. Will You Love Me Tomorrow chosen
    "Will You Love Me Tomorrow" is a classic pop ballad first made famous by The Shirelles, co-written by Carole King and Gerry Goffin, and widely regarded as one of the most enduring songs of the early 1960s.
  • B. Take Me to Tomorrow
    Take Me to Tomorrow is a 1970 folk and country-influenced studio album by American singer-songwriter John Denver.
  • C. This Time Tomorrow
    This Time Tomorrow is a British television game show centered on life-changing prizes and emotional stories, hosted by presenter Tess Daly.
  • D. This Time Tomorrow
    "This Time Tomorrow" is a song by Brandi Carlile featured on her 2021 album *In These Silent Days*.
  • E. There's a Great Big Beautiful Tomorrow
    "There's a Great Big Beautiful Tomorrow" is an optimistic theme song written for Disney's Carousel of Progress attraction, celebrating faith in technological progress and the future.
  • 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_69e245fe24588190888f3aec8407d8e3 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1af68cddc8190ab9d0b7ee1f157ed completed April 29, 2026, 7:12 a.m.
Created at: April 17, 2026, 6:25 p.m.