Triple

T11584846
Position Surface form Disambiguated ID Type / Status
Subject Marceline the Vampire Queen E274722 entity
Predicate notableEpisode P2757 FINISHED
Object "I Remember You" E616729 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: "I Remember You" | Statement: [Marceline the Vampire Queen, notableEpisode, "I Remember You"]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: "I Remember You"
Context triple: [Marceline the Vampire Queen, notableEpisode, "I Remember You"]
  • A. 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.
  • B. I Remember You
    "I Remember You" is a song by the Icelandic post-rock band Rökkurró, featured on their album "Leave Home."
  • C. I Remember You chosen
    "I Remember You" is a power ballad by American heavy metal band Skid Row that became one of their most popular and enduring songs.
  • D. 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.
  • E. 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.
  • 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_69d6aae6b14c81908dc5a74bad7591f9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d89462203881908870e991a5b21770 completed April 10, 2026, 6:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69e7142d442c8190a48372e0e17db517 completed April 21, 2026, 6:07 a.m.
Created at: April 8, 2026, 9:38 p.m.