Triple

T20107946
Position Surface form Disambiguated ID Type / Status
Subject Romance Dance E490244 entity
Predicate hasPart P35 FINISHED
Object Will You Remember Me — 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 Remember Me | Statement: [Romance Dance, hasPart, Will You Remember Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Will You Remember Me
Context triple: [Romance Dance, hasPart, Will You Remember Me]
  • A. Will You Remember Me chosen
    Will You Remember Me is a romantic song featured as a component of the larger work Romance Dance.
  • B. I Will Remember You
    "I Will Remember You" is a popular, emotionally resonant ballad by Sarah McLachlan that became widely known for its use in film, television, and memorial tributes.
  • C. I Will Remember You
    "I Will Remember You" is a contemporary Christian/pop ballad by American singer-songwriter Amy Grant, known for its reflective lyrics and emotional resonance.
  • D. I Remember You
    "I Remember You" is a song by the Icelandic post-rock band Rökkurró, featured on their album "Leave Home."
  • E. I Remember You
    "I Remember You" is a popular country and pop ballad most famously recorded by Slim Whitman, known for its smooth vocals and romantic, nostalgic lyrics.
  • 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_69da62636cc08190982cc71733a17b8d completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e666ddb09881909ad2aedd1e8a78da completed April 20, 2026, 5:48 p.m.
Created at: April 11, 2026, 11:28 p.m.