Triple

T20819337
Position Surface form Disambiguated ID Type / Status
Subject Simon Le Bon E512530 entity
Predicate notableWork P4 FINISHED
Object Come Undone 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: Come Undone | Statement: [Simon Le Bon, notableWork, Come Undone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Come Undone
Context triple: [Simon Le Bon, notableWork, Come Undone]
  • A. Come Undone
    "Come Undone" is a 2003 pop-rock single by British singer Robbie Williams, known for its dark, introspective lyrics and controversial music video.
  • B. Come Undone chosen
    "Come Undone" is a 1993 hit single by British band Duran Duran, known for its atmospheric production and sultry, melancholic vocals.
  • C. Coming Undone
    "Coming Undone" is a 2005 nu metal single by American band Korn, known for its distinctive staccato riff and dark, introspective lyrics.
  • D. Undone
    Undone is a contemporary Christian music album by the band MercyMe, known for its worshipful lyrics and melodic pop-rock sound.
  • E. Undone
    Undone is an animated psychological drama series that blends rotoscope animation with surreal storytelling to explore themes of time, memory, and mental health.
  • 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_69e0b4ce39108190a6e8e5df4f1c8dc5 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2f5b1e08190a9c26f76bd544b68 completed April 21, 2026, 12:21 a.m.
Created at: April 16, 2026, 12:41 p.m.