Triple

T19611243
Position Surface form Disambiguated ID Type / Status
Subject If I Should Love Again E470734 entity
Predicate hasPart P35 FINISHED
Object Let Me Be the One E431829 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: Let Me Be the One | Statement: [If I Should Love Again, hasPart, Let Me Be the One]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Let Me Be the One
Context triple: [If I Should Love Again, hasPart, Let Me Be the One]
  • A. Let Me Be the One chosen
    "Let Me Be the One" is a song by Sheena Easton featured on her 1981 album *You Could Have Been with Me*.
  • B. Let Me Be the One
    "Let Me Be the One" is a song by the British instrumental rock group The Shadows, known for their influential role in early rock and pop music.
  • C. Let Me Be
    "Let Me Be" is a pop song by American singer Britney Spears from her 2001 album "Britney."
  • D. I Could Be The One
    "I Could Be The One" is a popular progressive house track by Nicky Romero and Avicii that became a major international dance hit in the early 2010s.
  • E. She’s the One
    "She’s the One" is a romantic song by Bruce Springsteen, known for its driving piano, saxophone, and lyrics about obsessive love and desire.
  • 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_69d8e510fa248190b7afb274a1d4cf73 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640cb180c8190ba96ffb69c24e2e1 completed April 20, 2026, 3:05 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0771b2075481908c18e903421703cf completed May 15, 2026, 7:19 p.m.
Created at: April 10, 2026, 1:43 p.m.