Triple

T22206104
Position Surface form Disambiguated ID Type / Status
Subject Nancy in London E548809 entity
Predicate hasTrack P3284 FINISHED
Object The More I See 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: The More I See You | Statement: [Nancy in London, hasTrack, The More I See You]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The More I See You
Context triple: [Nancy in London, hasTrack, The More I See You]
  • A. The More I See You chosen
    "The More I See You" is a popular romantic song from the 1940s, widely recorded by jazz and pop artists and known for its enduring status as a Great American Songbook standard.
  • B. You See Me
    "You See Me" is a song by the American indie rock band Camp.
  • C. I See You
    "I See You" is the third studio album by English indie pop band The xx, known for its atmospheric production and introspective songwriting.
  • D. I See You
    "I See You" is the end-credits love theme song from the film *Avatar*, performed by Leona Lewis and composed by James Horner and Simon Franglen.
  • E. I See You
    "I See You" is a country song by Luke Bryan featured on his 2013 album *Crash My Party*.
  • 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_69e11e3ecc7c8190b5f94cd8f42e9d37 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12b2868d88190af313b862fe9d8f2 completed April 28, 2026, 9:48 p.m.
Created at: April 16, 2026, 8:36 p.m.