Triple

T10512443
Position Surface form Disambiguated ID Type / Status
Subject Love and Hisses E247948 entity
Predicate follows P134 FINISHED
Object Wake Up and Live E603990 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: Wake Up and Live | Statement: [Love and Hisses, follows, Wake Up and Live]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wake Up and Live
Context triple: [Love and Hisses, follows, Wake Up and Live]
  • A. Wake Up and Live chosen
    Wake Up and Live is a self-help book by Dorothea Brande that encourages readers to overcome self-sabotage and pursue their full potential through practical mental discipline.
  • B. Wake Up
    "Wake Up" is a soulful R&B song by Alicia Keys featured on her acclaimed album *The Diary of Alicia Keys*.
  • C. Wake Up
    "Wake Up" is a song featured on the album "This Is Not a Test!" by American singer and rapper Missy Elliott.
  • D. Wake Up
    Wake Up is a short film directed by Olivia Wilde that explores themes of technology, disconnection, and human connection.
  • E. Waking Up
    "Waking Up" is the second studio album by American pop rock band OneRepublic, featuring anthemic, emotionally driven songs that helped solidify their mainstream success.
  • 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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509b5fcb8819087a23a2b26aecd70 completed April 7, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dcf65f808190993dbacde2df20eb completed April 10, 2026, 11:20 a.m.
Created at: April 6, 2026, 12:27 p.m.