Triple

T10049349
Position Surface form Disambiguated ID Type / Status
Subject Where You Wanna Be E207704 entity
Predicate hasTitle P38 FINISHED
Object Where You Wanna Be E207704 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: Where You Wanna Be | Statement: [Where You Wanna Be, hasTitle, Where You Wanna Be]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Where You Wanna Be
Context triple: [Where You Wanna Be, hasTitle, Where You Wanna Be]
  • A. Where You Wanna Be chosen
    "Where You Wanna Be" is a song by American singer Brandy from her 2004 R&B album "Afrodisiac."
  • B. Where I Wanna Be
    "Where I Wanna Be" is an R&B song and album by Donell Jones, best known for its smooth, soulful sound and introspective lyrics about love and relationships.
  • C. There You'll Be
    "There You'll Be" is a power ballad by American country-pop singer Faith Hill, best known as the theme song from the 2001 film Pearl Harbor and one of her signature hits.
  • D. Wanna Be Loved
    "Wanna Be Loved" is a soulful R&B track by John Legend from his album *Love in the Future*, showcasing his smooth vocals and romantic lyricism.
  • E. I Wanna Be
    "I Wanna Be" is a song featured on the collaborative blues-rock album "Riding with the King" by B.B. King and Eric Clapton.
  • 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_69ca835ad0608190b7c80b292da004f5 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcf8e41c4819091fa12742197e207 completed April 2, 2026, 2:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2829674f08190b5f9c3b984106469 completed April 5, 2026, 3:41 p.m.
Created at: March 30, 2026, 8:56 p.m.