Triple

T22843957
Position Surface form Disambiguated ID Type / Status
Subject You’re Dead! E566161 entity
Predicate notableTrack P8087 FINISHED
Object Never Catch 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: Never Catch Me | Statement: [You’re Dead!, notableTrack, Never Catch Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Never Catch Me
Context triple: [You’re Dead!, notableTrack, Never Catch Me]
  • A. Never Catch Me
    "Never Catch Me" is a song featured on the album "Rodeo," known for its energetic production and thematic focus on ambition and resilience.
  • B. Never Catch Me chosen
    "Never Catch Me" is a critically acclaimed experimental hip-hop and jazz fusion track by Flying Lotus featuring Kendrick Lamar, noted for its complex production and introspective lyrics.
  • C. Catch Me
    "Catch Me" is a song by the band Mother Twilight, showcasing their style and musical identity.
  • D. 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.
  • E. 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."
  • 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_69e245869e188190a196584f36e682da completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e8726d4819095b4d999b4172ff7 completed April 29, 2026, 3:44 a.m.
Created at: April 17, 2026, 3:36 p.m.