Triple

T17878139
Position Surface form Disambiguated ID Type / Status
Subject Sophie Ellis-Bextor E447010 entity
Predicate notableWork P4 FINISHED
Object Catch You — NE NERFINISHED

How this triple was built (3 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: Catch You | Statement: [Sophie Ellis-Bextor, notableWork, Catch You]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Catch You
Context triple: [Sophie Ellis-Bextor, notableWork, Catch You]
  • A. I'll Catch You
    "I'll Catch You" is an emotional indie rock ballad by The Get Up Kids, known as a fan-favorite closer from their influential early-2000s album "Something to Write Home About."
  • B. Catch Me
    "Catch Me" is a crime thriller novel by Lisa Gardner featuring detective D.D. Warren as she investigates a woman's chilling prediction of her own imminent murder.
  • C. Catch Me
    "Catch Me" is a song by the band Mother Twilight, showcasing their style and musical identity.
  • D. Pray You Catch Me
    "Pray You Catch Me" is the atmospheric, emotionally raw opening track of Beyoncé's visual album *Lemonade*, setting the tone with themes of suspicion, betrayal, and vulnerability.
  • E. Got You
    "Got You" is a house music track by French DJ and producer Michael Calfan, known for its uplifting, melodic style.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Catch You
Target entity description: "Catch You" is a 2007 uptempo pop single by English singer Sophie Ellis-Bextor, known for its catchy chorus and dance-pop production.
  • A. I'll Catch You
    "I'll Catch You" is an emotional indie rock ballad by The Get Up Kids, known as a fan-favorite closer from their influential early-2000s album "Something to Write Home About."
  • B. Catch Me
    "Catch Me" is a crime thriller novel by Lisa Gardner featuring detective D.D. Warren as she investigates a woman's chilling prediction of her own imminent murder.
  • C. Catch Me
    "Catch Me" is a song by the band Mother Twilight, showcasing their style and musical identity.
  • D. Pray You Catch Me
    "Pray You Catch Me" is the atmospheric, emotionally raw opening track of Beyoncé's visual album *Lemonade*, setting the tone with themes of suspicion, betrayal, and vulnerability.
  • E. Got You
    "Got You" is a house music track by French DJ and producer Michael Calfan, known for its uplifting, melodic style.
  • F. None of above. chosen

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_69d8b9f4c22c819093c2680434472894 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49c0c46108190b8edef2572b5ba90 completed April 19, 2026, 9:10 a.m.
Created at: April 10, 2026, 10:18 a.m.