Triple

T13225344
Position Surface form Disambiguated ID Type / Status
Subject The Queen Alone E314866 entity
Predicate hasTrack P3284 FINISHED
Object All I See Is You E579394 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: All I See Is You | Statement: [The Queen Alone, hasTrack, All I See Is You]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: All I See Is You
Context triple: [The Queen Alone, hasTrack, All I See Is You]
  • A. All I See Is You chosen
    "All I See Is You" is a 1966 pop ballad by Dusty Springfield, known for its lush orchestration and emotive vocal performance that became one of her notable hits.
  • B. All I See Is You
    All I See Is You is a psychological drama film starring Blake Lively as a blind woman whose life and marriage change dramatically after she regains her sight.
  • C. I See You
    "I See You" is a country song by Luke Bryan featured on his 2013 album *Crash My Party*.
  • 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. The More I See You
    "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.
  • 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_69d806affc688190a25b6ccc588e9c72 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d3128348190836158467e9cfbe2 completed April 10, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff28612c81909d4fe93b0e571deb completed May 3, 2026, 7:54 a.m.
Created at: April 9, 2026, 9:19 p.m.