Triple

T22125033
Position Surface form Disambiguated ID Type / Status
Subject Jessica Origliasso E546769 entity
Predicate notableWork P4 FINISHED
Object You Ruin Me 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: You Ruin Me | Statement: [Jessica Origliasso, notableWork, You Ruin Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: You Ruin Me
Context triple: [Jessica Origliasso, notableWork, You Ruin Me]
  • A. You Ruin Me chosen
    "You Ruin Me" is a piano-driven pop ballad by Australian duo The Veronicas, known for its raw, emotional vocals and themes of heartbreak and betrayal.
  • B. Ruin My Life
    "Ruin My Life" is a pop song by Swedish singer Zara Larsson, known for its emotive lyrics about toxic relationships and its commercial success on international charts.
  • C. Ruin My Day
    "Ruin My Day" is a song by the band Meaningless.
  • D. Destroy Me
    "Destroy Me" is a pop single by American singer Rebecca Black that showcases her evolution from viral teen sensation to more mature recording artist.
  • E. The Worst In Me
    "The Worst In Me" is a song by American country artist BUBBA.
  • 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_69e11e39bf348190b541bfa16a7b71e0 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12980e2488190b58b541c8bee8480 completed April 28, 2026, 9:41 p.m.
Created at: April 16, 2026, 8:31 p.m.